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Salary- $157K/Yr – $182.5K/Yr, Salary- $180K/Yr – $210K/Yr
Hybrid
Posted 2 months ago
Build the future of the AI Data Cloud. Join the Snowflake team. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.   IN THIS ROLE YOU WILL GET TO:
  • Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
  • Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
  • Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
  • Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
  • Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
  ON DAY ONE, WE WILL EXPECT YOU TO HAVE:
  • 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
  • Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing.
  • Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
  • Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
  • Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
  BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:
  • Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, and NeMo-Guard.
  • Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.)
  • 1+ years of practical Snowflake experience.
  • Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

Job Features

Job Category

AI Engineer, Data Science

Build the future of the AI Data Cloud. Join the Snowflake team. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technic…View more

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Salary- $210K/Yr – $230K/Yr
Onsite
Posted 2 months ago
Company Description We are on a mission to revolutionize online coaching and e-commerce with AI. We are currently in Stealth mode and based in SF Bay Area. Our team comprises visionaries, researchers, and engineers committed to pushing the boundaries of AI to create transformative solutions. Join our diverse and collaborative team and play a pivotal role in harnessing AI’s incredible power to help professionals reach their full potential. Responsibilities
  • Develop and optimize neural network architectures, including CNNs, for real-time image analysis and pattern recognition.
  • Adapt pre-trained language models to our specific domain and use cases.
  • Develop and deploy state-of-the-art computer vision models for real-time applications.
  • Experiment with different fine-tuning techniques to improve model performance on relevant tasks.
  • Build visual models to analyze and process image, video, and text data and combine them with additional external and internal sources of multi-modal data
Minimum Qualifications
  • Experienced in machine learning and computer vision, in research and/or production.
  • Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
  • Master’s, PhD, or equivalent industry experience.
  • Strong desire to build and scale a startup from the early days.
Required skills
  • Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.
  • Knowledge of neural networks, CNNs, and image processing techniques.
  • Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation/reinforcement learning.
  • Understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in LLMs (e.g., GPT-3, LaMDA), computer vision (e.g., CNNs, object detection).
  • Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.
Nice to Have:
  • Experience working at a startup
  • Experience with real-time video analysis, object detection, and scene understanding.
  • Experience with visual transformers and their applications in computer vision tasks such as 3D modeling, neural rendering, or advanced video processing.
Minimum Qualifications
  • Strong desire to build and scale a startup from the early days.
  • Experienced in machine learning and computer vision, in research and/or production.
  • Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
  • Master’s, PhD, or equivalent industry experience.
Required skills
  • Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.
  • Knowledge of neural networks, CNNs, and image processing techniques.
  • Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation/reinforcement learning.
  • Understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in LLMs (e.g., GPT-3, LaMDA), computer vision (e.g., CNNs, object detection).
  • Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.
Nice to Have:
  • Experience with open-source frameworks for building applications powered by language models like LangChain, LlamaIndex, etc.
  • Experience with large-scale machine learning systems such as profiling and debugging and understanding of system performance and scalability.
  • Peer-reviewed publications in multi-modality, large language models, continual learning and/or federated learning.
Note: 1) Role does not sponsor visa at this time. 2) Role will have option to convert full time after initial contract with generous equity.

Job Features

Job Category

AI Engineer, Data Science

Company Description We are on a mission to revolutionize online coaching and e-commerce with AI. We are currently in Stealth mode and based in SF Bay Area. Our team comprises visionaries, researchers,…View more

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Salary- $120K/yr – $150K/yr
Remote
Posted 3 months ago

Clinical Data Scientist

The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. We build Responsible AI solutions by understanding our music, podcasts and users better than anyone else. Join us and you’ll keep millions of users listening by making recommendations safe for each and every one of them.
What You’ll Do
  • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
  • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
  • Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users
  • Help drive optimization, testing, and tooling to improve quality
  • Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another
Who You Are
  • You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems.
  • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus.
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation
Where You’ll Be
  • We are a distributed workforce enabling our band members to find a work mode that is best for them!
  • Where in the world? For this role, it can be within the Americas region in which we have a work location
  • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
  • Working hours? We operate within the Eastern Standard time zone for collaboration
Our global benefits
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off – fully paid – for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
The United States base range for this position is $136,878- $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Job Features

Job Category

Data Analyst, Data Science, Machine Learning

Clinical Data Scientist The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved feat…View more

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Salary- $94K/yr – $123K/yr
Remote
Posted 3 months ago

About the Role:

As an AI-Powered Threat Detection Engineer, you’ll develop intelligent security systems that learn from threat patterns, predict malicious behavior, and automate incident response. You’ll work on the cutting edge of AI-driven cyber defense, designing tools that detect insider threats, advanced persistent threats (APT), and zero-day exploits.

This is a hands-on engineering role for someone who loves solving complex problems using AI, machine learning, and cybersecurity expertise.

Key Responsibilities:

  • Build and deploy AI/ML models for behavioral analytics and threat scoring.

  • Use real-time streaming data to identify and respond to emerging cyber threats.

  • Integrate your models into SIEM and SOAR platforms for automated defense.

  • Conduct red team vs. blue team simulations using generated attack data.

  • Lead data engineering efforts for collecting, cleaning, and labeling threat logs.

  • Work closely with cybersecurity analysts and DevSecOps teams.

  • Research and implement deep learning approaches for malware classification.

 Required Skills:

  • Solid foundation in cybersecurity principles and incident detection

  • Strong coding skills in Python (Pandas, Scikit-learn, TensorFlow or PyTorch)

  • Proficiency in data pipelines and APIs (Kafka, REST, Splunk, Elasticsearch)

  • Experience with SIEM tools (e.g., QRadar, Splunk, Microsoft Sentinel)

  • Understanding of log analysis, network traffic, and SOC processes

  • Familiarity with threat frameworks (e.g., MITRE ATT&CK, Cyber Kill Chain)

Desirable Skills:

  • Experience with anomaly detection algorithms or unsupervised learning

  • Exposure to graph-based analysis for threat hunting (e.g., Neo4j, NetworkX)

  • Hands-on with Docker, Kubernetes, and cloud-based ML pipelines

  • Cybersecurity certifications: CISSP, CISM, CEH, or Google Cybersecurity Cert

Why This Role Is Unique:

  • You’ll design real-world AI systems that detect attacks before they happen

  • Work with live, high-volume data from financial institutions and telecom networks

  • Exposure to AI forensics, digital twin simulations, and advanced SOCs

  • Training budget and mentorship to specialize in AI Cyber Defense

Job Features

Job Category

Cloud Security Engineer, Cyber Security

About the Role: As an AI-Powered Threat Detection Engineer, you’ll develop intelligent security systems that learn from threat patterns, predict malicious behavior, and automate incident response. Y…View more

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Salary- $180K/Yr – $210K/Yr
Remote
Posted 3 months ago

Role Overview:

We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves developing predictive models to anticipate cyber threats and enhance security protocols, leveraging AI and machine learning techniques.

Key Responsibilities:

  • Predictive Modeling: Develop and implement machine learning models to forecast potential cybersecurity threats and vulnerabilities.

  • Data Analysis: Analyze large datasets to identify patterns and anomalies related to security incidents.

  • AI Integration: Integrate AI solutions into existing cybersecurity frameworks to improve threat detection and response times.

  • Collaboration: Work closely with cybersecurity analysts, IT teams, and stakeholders to align data science initiatives with security objectives.

  • Reporting: Generate comprehensive reports and visualizations to communicate findings to technical and non-technical audiences.

Required Qualifications:

  • Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Cybersecurity, or a related field.

  • Technical Skills:

    • Proficiency in programming languages such as Python or R.

    • Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn).

    • Familiarity with cybersecurity concepts and tools.

  • Analytical Skills: Strong ability to analyze complex datasets and derive actionable insights.

  • Communication Skills: Excellent written and verbal communication skills to convey technical information clearly.

Preferred Qualifications:

  • Certifications: Relevant certifications such as Certified Information Systems Security Professional (CISSP) or Certified Ethical Hacker (CEH).

  • Experience: Prior experience in a cybersecurity-focused data science role.

  • Tools: Familiarity with data visualization tools like Tableau or Power BI.

Benefits:

  • Competitive Salary: Reflective of experience and industry standards.

  • Flexible Working: Options for remote or hybrid working arrangements.

  • Professional Development: Opportunities for training and certifications in AI and cybersecurity.

  • Health & Wellness: Comprehensive health insurance and wellness programs.

Job Features

Job Category

Cyber Security

Role Overview: We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves develo…View more

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Salary- $157K/Yr – $182.5K/Yr
Texas
Posted 3 months ago
This position will directly support UNL Athletics and will be part of our Security Engineering team, which is responsible for protecting the enterprise from cyber threats and preventing the occurrence and recurrence of cybersecurity incidents. Specifically, this position will focus on network security and work closely with the ITS infrastructure team and campus IT support teams. Occasionally, work outside of regular business hours may be required to respond to incidents or service outages. Requirements Responds to security alerts and investigates root cause. Assists with the implementation and administration of the University’s information security program. This includes safeguarding information system assets by identifying and solving potential and actual security problems and risks. Responsible for requirements management, solution recommendations, and project management in support of strategic security projects which vary in scope from campus strategic goals to NU system goals to state and federal mandates. Provides timely, clear verbal and written communications related to all projects and operational activities. The work involves following the methodologies of the security and business analysis fields in order to:
  • Assist in analyzing customer needs and capture requirements using multiple methods from the security and identity perspectives.
  • Assist in the development and maintenance of systems and policies to ensure the security of information and data assets.
  • Perform analysis and judgment outside established protocols requiring a high degree of confidentiality and integrity.
  • Responsible for implementation of security policies and procedures (e.g., user log-on and authentication rules, security breach escalation procedures, security auditing procedures and use of firewalls and encryption routines).
  • As necessary researching requirements and writing draft policies.
  • Work as necessary with external contractors and other vendors for completion of plans and projects.
  • Maintenance of systems and policies to ensure the security of information and data assets; monitoring of procedures and compliance with security policies to ensure that user access, resources and information are secure
  • Monitoring of emerging network threats and regular consultation with other IT professionals and user departments to provide tactical and strategic technical guidance and assist in the design and implementation of appropriate access protection, audit control and evidentiary methods and procedures.
  • As necessary test and/or manage University systems, infrastructure and applications.This position will uphold the ITS core principles of outstanding collaboration and communication, a drive to succeed, a passion for higher learning, and acting with integrity.
Position Details: https://uofnebraska.sharepoint.com/:b:/s/nu-SystemHR-Public/EduywTLYuHhKr4B-rPQCYssB46l_ygBsavKnlLVpsdlgjg?e=wNCyyg Qualifications Position Announcement: Bachelor’s degree required; equivalency considered Two years experience in information technology or security experience; required Must have excellent verbal, written and interpersonal skills; requiredMust have strong organizational and problem solving skills; requiredExperience within a higher education environment; preferredExperience using security tools (vulnerability scanners, intrusion prevention systems, firewalls, VPN’s, data loss prevention, etc.); preferred Security + or similar certification; desired Special Instructions To Applicant This position directly supports UNL Athletics and be a part of the Security Engineering Team, position has a minimum annual salary of $80,500 and is eligible for alternative worksite arrangement (Hybrid) and will be located on the Lincoln campus. Please complete a standard application and attach a resume, cover letter and the names, email addresses and telephone numbers for three professional references. Please note: H1-B Sponsorship will not be offered for this position. If you should need assistance with your application, please call 402-472-3701. The University of Nebraska is an Affirmative Action/Equal Opportunity Employer and participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, gender identity, sexual orientation or protected veteran status. To apply, visit https://apptrkr.com/5600716 The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. The University of Nebraska is an Equal Opportunity/Affirmative Action and E-Verify employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, gender identity, sexual orientation, or protected veteran status. All positions opened at the University of Nebraska are subject to veterans’ preference.

Job Features

Job Category

Cyber Security

This position will directly support UNL Athletics and will be part of our Security Engineering team, which is responsible for protecting the enterprise from cyber threats and preventing the occurrence…View more

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Salary- $105.8K/yr – $174.8K/yr
Posted 3 months ago

We are seeking a highly skilled AI Cybersecurity Specialist to join our marketing technology team. This unique role combines expertise in artificial intelligence, cybersecurity, and marketing operations. You will be responsible for securing AI-driven marketing systems, safeguarding customer data, and ensuring compliance with privacy regulations while optimizing marketing technology infrastructure.

Key Responsibilities:

  • Design and implement cybersecurity strategies specifically for AI-driven marketing platforms.

  • Monitor and protect marketing data, including customer information and campaign analytics, from cyber threats.

  • Conduct risk assessments, vulnerability testing, and security audits on AI marketing systems.

  • Collaborate with marketing and IT teams to ensure secure deployment of AI tools and automation platforms.

  • Develop and enforce policies for secure AI usage, data privacy, and regulatory compliance.

  • Stay ahead of emerging cybersecurity threats targeting AI and digital marketing technologies.

  • Provide training and guidance to marketing teams on secure AI practices.

Qualifications:

  • Proven experience in cybersecurity, with a focus on AI or machine learning systems.

  • Deep understanding of data privacy laws and regulations (GDPR, CCPA, etc.).

  • Hands-on experience with marketing technology platforms, CRM systems, and AI marketing tools.

  • Proficiency in security frameworks, threat modeling, and penetration testing.

  • Strong analytical and problem-solving skills.

  • Excellent communication skills, capable of translating technical security issues for non-technical stakeholders.

Preferred Skills:

  • Certifications such as CISSP, CISM, CEH, or equivalent.

  • Experience with cloud security (AWS, Azure, GCP) in AI and marketing contexts.

  • Knowledge of AI model security, adversarial attacks, and secure data pipelines.

Why Join Us:

  • Fully remote, flexible work environment.

  • Opportunity to work at the intersection of AI, cybersecurity, and marketing.

  • Competitive compensation package of $200k – $300k per year.

  • Work with a forward-thinking team driving innovation in AI-driven marketing.

Job Features

Job Category

AI MARKETING

We are seeking a highly skilled AI Cybersecurity Specialist to join our marketing technology team. This unique role combines expertise in artificial intelligence, cybersecurity, and marketing operatio…View more

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Salary- $105.8K/yr – $174.8K/yr
Ohio
Posted 3 months ago
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It’s yours to build. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. US Consulting – AI & Data – Data Architect, Industrials & Energy Sector – Senior The opportunity EY is seeking a Data Architect with strong technology and data understanding having proven delivery capability. Lead the design, development, and management of the organization’s data architecture, ensuring scalable, efficient, and secure data solutions that align with business goals and support enterprise-wide data initiatives. In this role, you will create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities
  • Design, develop, optimize, and maintain data architecture and pipelines that adheres to ETL principles and business goals
  • Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity
  • Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment
  • Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyse, validate, normalize, and clean data
  • Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues
  • Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes
  • Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity
  • Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
  • Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
  • Solve complex data problems to deliver insights that help achieve business objectives
  • Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics
  • Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop Administrative Fundamentals
  • Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
Skills And Attributes For Success
  • Experience in the development of Hadoop APIs and MapReduce jobs for large scale data processing
  • Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm
  • Hands on experience with major components like Hive, Spark, and MapReduce
  • Experience working with NoSQL in at least one of the data stores – HBase, Cassandra, MongoDB
  • Experienced in Hadoop clustering and Auto scaling
  • Good knowledge in apache Kafka & Apache Flume
  • Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
  • Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies
  • Strong business acumen with knowledge of the Industrial Products sector is preferred, but not required
  • Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata
  • Ability to build and optimize queries (SQL), data sets, ‘Big Data’ pipelines, and architectures for structured and unstructured data
  • Experience with or knowledge of Agile Software Development methodologies.
  • Demonstrated understanding and experience using:
  • Data Engineering Programming Languages (i.e., Python)
  • Distributed Data Technologies (e.g., Pyspark)
  • Cloud platform deployment and tools (e.g., Kubernetes)
  • Relational SQL databases
  • DevOps and continuous integration
  • AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS)
  • Databricks/ETL
  • IICS/DMS
  • GitHub
  • Event Bridge, Tidal
To qualify for the role you must have
  • Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution
  • Excellent communicator (written and verbal formal and informal)
  • Ability to multi-task under pressure and work independently with minimal supervision.
  • Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives
  • Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling
  • Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value
  • Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity
  • Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth
  • Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
Ideally, you’ll also have
  • Experience in leading and influencing teams, with a focus on mentorship and professional development
  • A passion for innovation and the strategic application of emerging technologies to solve real-world challenges
  • The ability to foster an inclusive environment that values diverse perspectives and empowers team members
What We Offer We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,800 to $174,800. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $127,100 to $198,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
  • Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
  • Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
  • Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here for additional information. EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com

Job Features

Job Category

Data Science

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting…View more

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Salary- $190K/Yr – $220/Yr
Hybrid
Posted 3 months ago

Job Description:
We are seeking an AI-Powered Cybersecurity Analyst to join our security operations team. In this role, you will leverage artificial intelligence and machine learning to detect, analyze, and mitigate cyber threats in real-time. The ideal candidate will have a strong foundation in cybersecurity principles along with hands-on experience in applying AI models for anomaly detection, predictive threat analysis, and automated incident response.

Key Responsibilities:

  • Develop and deploy AI/ML models to identify unusual network behavior, malware patterns, and insider threats.

  • Integrate AI-driven tools into existing Security Information and Event Management (SIEM) systems.

  • Analyze large volumes of security logs and threat intelligence using machine learning techniques.

  • Collaborate with threat hunters and SOC teams to enhance detection accuracy and reduce false positives.

  • Automate repetitive security tasks such as phishing detection, vulnerability scanning, and patch prioritization.

  • Stay updated on the latest advancements in AI for cybersecurity, including generative AI risks and adversarial attacks.

  • Support incident response by providing AI-driven insights during investigations.

Qualifications:

  • Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Data Science, or related field.

  • Strong knowledge of cybersecurity fundamentals (network security, threat intelligence, SOC operations).

  • Experience with machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn).

  • Familiarity with security tools such as Splunk, QRadar, or Elastic Security.

  • Programming skills in Python or R for data modeling and automation.

  • Understanding of adversarial AI threats and defensive strategies.

  • Excellent problem-solving and analytical skills.

Preferred Skills:

  • Knowledge of cloud security (AWS, Azure, GCP) with AI-driven defense mechanisms.

  • Experience with Natural Language Processing (NLP) for phishing and malware text analysis.

  • Certifications such as CEH, CISSP, or CompTIA Security+, along with AI/ML certifications.

Why Join Us?
You will be at the forefront of the next generation of cybersecurity, using artificial intelligence to fight advanced cyber threats. This role offers the opportunity to work on cutting-edge security challenges, innovate with AI, and protect organizations against evolving digital risks.

Job Features

Job Category

Machine Learning

Job Description:We are seeking an AI-Powered Cybersecurity Analyst to join our security operations team. In this role, you will leverage artificial intelligence and machine learning to detect, analyze…View more

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Salary- $70K/yr – $90K/yr
Remote(International)
Posted 3 months ago
Title: FinCrime Investigator Location: Remote (Open to candidates from any country)

Resource Proposal for FinCrime Investigator – Integration Modernization Initiative Project Name: Integration Modernization Resource Requirement: Cloud Security Engineer – Contractor Key Technologies Involved: TIBCO, APIGEE, Kafka, and other integration tools (TBD)

Executive Summary The Integration Modernization initiative aims to enhance Ulta’s capabilities by modernizing existing systems, optimizing processes, and enabling seamless communication across various platforms, focusing on a move to Google Cloud Platform (GCP). As part of this effort, we will integrate a range of tools and technologies, including TIBCO, APIGEE, Kafka, and additional integration platforms (TBD) over the next 12 months. Scope of Work The Cloud Security Engineer will work closely with the Integration Modernization team to design, implement, and monitor security measures across various integration tools. They will ensure the integrity, confidentiality, and availability of data as it flows between systems. The security engineer will also assist in defining policies and best practices for integrating TIBCO, APIGEE, Kafka, and any future tools. This role will involve both strategic planning and tactical implementation. Key responsibilities include:

  1. Security Assessment and Risk Management:
    • Conduct security risk assessments for integration tools (TIBCO, APIGEE, Kafka, etc.)
    • Identify and mitigate potential vulnerabilities in cloud-based architectures.
    • Ensure proper encryption and key management protocols are in place.
  1. Architecture and Design:
    • Collaborate with solution architects to design secure integration architectures, ensuring proper authentication, authorization, and data protection across the platforms.
    • Work with cross-functional teams to integrate security into DevOps pipelines, CI/CD workflows, and API lifecycle management.
  1. Tool and Platform Security:
    • Ensure security configurations of TIBCO, APIGEE, Kafka, and other integration tools are aligned with industry standards and organizational policies.
    • Manage security integrations with Ulta’s identity management systems.
  1. Monitoring and Incident Response:
    • Set up continuous monitoring for security events and anomalies across the integration platforms.
    • Respond to security incidents and provide remediation guidance in the event of breaches or vulnerabilities.
  1. Compliance and Auditing:
    • Ensure compliance with relevant industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, etc.) for the tools and services in use.
    • Conduct regular audits of security controls and recommend improvements as needed.
  1. Documentation and Knowledge Transfer:
    • Maintain up-to-date security documentation for each platform transferring monitoring and incident response to the Security Operations Center.
    • Conduct knowledge transfer sessions for the wider IT and security teams to ensure ongoing security practices are followed.

Resource Justification The integration modernization initiative is crucial for maintaining competitive advantages and supporting the company’s strategic goals. As the organization adopts new cloud-based tools and integrates multiple platforms, securing these technologies is critical to minimizing risks associated with data breaches, cyberattacks, and regulatory non-compliance. Given the breadth of tools involved, including TIBCO, APIGEE, and Kafka, a dedicated Cloud Security Engineer is required to ensure that security considerations are fully embedded into every phase of the integration process. Their expertise will not only safeguard the organization’s assets but will also promote efficiency by proactively addressing potential security gaps before they evolve into major issues.

Skills and Experience Required The ideal candidate will have a combination of the following skills and experience: Technical Skills:

  • Cloud Security Expertise: Experience securing cloud-based architectures, including AWS, Azure, or Google Cloud.
  • Integration Platforms: Deep knowledge of integration tools such as TIBCO, APIGEE, and Kafka with a focus on security.
  • API Security: Expertise in securing APIs using industry-standard protocols (OAuth 2.0, OpenID Connect, JWT, etc.).
  • Network Security: Knowledge of securing microservices, messaging systems, and network communication in hybrid and multi-cloud environments.
  • Identity and Access Management (IAM): Experience implementing IAM solutions for integration platforms, including SSO, RBAC, and MFA.
  • DevSecOps: Familiarity with CI/CD pipelines and automating security controls within development processes.

Job Features

Job Category

Cyber Security, Security

Title: FinCrime Investigator Location: Remote (Open to candidates from any country) Resource Proposal for FinCrime Investigator – Integration Modernization Initiative Project Name: Integration Mode…View more

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Salary- $210K/Yr – $230K/Yr
Texas
Posted 3 months ago
Work Type
Remote
 
Netflix is one of the world’s leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.   The team The Security Engineering organization ensures that Netflix can pragmatically address top security risks while maintaining business agility, velocity, and scale. We work to enable engineers to build secure systems and provide them with the right security context to make the best decisions for Netflix.   The Application and Infrastructure Security (AIS) team sits within the Security Engineering organization. We apply our deep security expertise, working alongside a diverse set of stakeholders, to discover risk, develop security strategies, and execute critical and high-leverage initiatives broadly across our applications and infrastructure.   The role AIS is looking to add an experienced Security Engineer to collaborate closely with our platform teams to enhance Netflix security against ever-changing business needs. In this role, you will work across different teams and with a variety of stakeholders, including security engineers, software engineers, and product managers. Leveraging your engineering skills and security knowledge, you will play a key role in how our systems are built and how we manage risk. This role needs someone who is proactive and adaptable, who can work well with people from different areas of expertise, and who can help foster a strong and inclusive security team.   We encourage you to apply even if you don’t meet every single one of the listed criteria. We value the unique perspectives, skills, and experiences each candidate brings with them.   You should have:
  • Experience with an engineering-focused approach to infrastructure and platform security.
  • Demonstrated skill in identifying and solving security problems, driving new or improving existing solutions that positively impact your team’s or partner teams’ scope of work.
  • Solid written and verbal communication skills, and an ability to frame security objectives to a variety of audiences.
  • Experience in securing platforms and services in mixed-deployment environments (self-hosted, cloud-hosted, SaaS).
  • Experience in securing cloud platforms, securing networks and infrastructure, and designing cloud agnostic security solutions.
  • Familiarity with container and orchestration security, and authentication/authorization.
  You will succeed in this role if you:
  • Are a thoughtful and responsible security professional — someone who’s self-motivated and can seek input to prioritize work.
  • Have an ability to understand and develop sound security solutions amidst ambiguity.
  • Are comfortable conducting different sizes and shapes of security assessments, and driving resulting remediation with partner teams.
  • Believe that a diverse and inclusive team is a critical part of a sustainable and effective work environment.
  • Empathize with your customers, and have an interest in the overall product, software, and systems lifecycles.
  Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 – $720,000.   Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.   We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.   Job is open for no less than 7 days and will be removed when the position is filled.

Job Features

Job Category

Cloud Security Engineer, Cyber Security

Work Type Remote   Netflix is one of the world’s leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide va…View more

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Salary – $200k/yr – $380k/yr, Salary- $210K/Yr – $300K/Yr
Remote
Posted 3 months ago

We are looking for an experienced AI Marketing DevOps Engineer to bridge the gap between marketing technology, AI systems, and DevOps practices. In this role, you will ensure that AI-powered marketing platforms are deployed, maintained, and scaled securely and efficiently, while enabling data-driven marketing campaigns with speed and reliability.

Key Responsibilities:

  • Design, build, and maintain DevOps pipelines for AI-driven marketing platforms.

  • Deploy, monitor, and scale AI marketing models and tools across cloud and on-prem environments.

  • Automate workflows for AI marketing operations to improve efficiency and reliability.

  • Ensure secure and compliant management of marketing data and AI models.

  • Collaborate with marketing, data science, and IT teams to optimize system performance.

  • Troubleshoot deployment, performance, and infrastructure issues related to AI marketing tools.

  • Implement CI/CD practices for AI models, marketing applications, and related microservices.

Qualifications:

  • Proven experience in DevOps, cloud infrastructure, and CI/CD pipelines (AWS, Azure, GCP).

  • Strong knowledge of AI/ML model deployment, orchestration, and monitoring.

  • Familiarity with marketing automation platforms, CRMs, or AI marketing tools.

  • Proficiency with containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, Ansible).

  • Understanding of data privacy, security, and compliance in marketing contexts.

  • Excellent problem-solving, analytical, and communication skills.

Preferred Skills:

  • Experience with MLOps tools and frameworks.

  • Knowledge of performance monitoring, logging, and security for AI marketing applications.

  • Certifications in DevOps, cloud, or AI/ML operations.

Why Join Us:

  • Fully remote role with flexible work hours.

  • Work at the cutting edge of AI, marketing, and DevOps.

  • Competitive compensation of $200k – $300k per year.

  • Collaborate with a team driving innovation in AI-powered marketing operations.

Job Features

Job Category

AI MARKETING, DevOps

We are looking for an experienced AI Marketing DevOps Engineer to bridge the gap between marketing technology, AI systems, and DevOps practices. In this role, you will ensure that AI-powered marketing…View more

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Salary- $105.8K/yr – $174.8K/yr
Remote
Posted 3 months ago
The Company At Servant Digital, we specialize in empowering leaders and organizations within faith communities through innovative digital transformation and change management solutions. We are committed to providing tailored strategies that align with our clients’ values and missions, focusing on service, integrity, and excellence. Our team is passionate about making a meaningful impact by equipping our partners with the tools and technologies they need to thrive in a rapidly evolving digital landscape. Join us in our mission The Role We are seeking an innovative Data Visualization Specialist who brings data to life through dynamic, emotionally resonant animations. This role will bridge the gap between data, storytelling, and animation, turning raw numbers and data into compelling, impactful narratives that engage and inform audiences on a deeper level. The ideal candidate combines expertise in animation with strong coding skills and a keen understanding of data visualization to create interactive and expressive data experiences. Responsibilities: Transform Data into Visual Narratives: Design animated data visualizations that not only inform but also evoke a desired emotional response in line with key project objectives. Collaborate on Storyboarding and Scripting: Partner with data analysts, content creators, and design teams to storyboard and map out engaging data-driven animations that tell a clear and impactful story. Code Interactive and Dynamic Visualizations: Leverage libraries like D3.js, Three.js, and p5.js to build animations that work responsively on the web and offer interactivity. Develop and Test Animated Data Visualizations: Use coding languages such as JavaScript, HTML/CSS, and SVG animation, ensuring high performance and visual appeal across devices. Animate Using Advanced Tools: Utilize Adobe After Effects, Adobe Animate, and/or WebGL for complex animations and 3D data visualizations. Audience-Centric Design: Use insights into audience psychology and emotional triggers to create visualizations that maximize engagement and relatability. Optimize for Web: Ensure animations are optimized for web performance, balancing visual quality with efficiency for a seamless user experience. Qualifications:
  • Education: Bachelor’s degree in Data Science, Animation, Graphic Design, Computer Science, or a related field (or equivalent experience).
  • Experience: 10+ years in data visualization, animation, or interactive design, with a portfolio showcasing emotive, data-driven animations.
  • Technical Skills:
    • Proficiency in JavaScript, including libraries like D3.js, Three.js, and p5.js for interactive animations.
    • Strong command of HTML/CSS and SVG Animation.
    • Experience with Adobe After Effects, Adobe Animate, or WebGL for complex visualizations.
    • Familiarity with Python or R for data preparation is a plus.
    • Creative Skills: Skilled in storyboarding, visual storytelling, and understanding of design principles related to color, typography, and animation timing.
  • Ability to interpret data and identify key trends, as well as understanding audience psychology to enhance engagement.
  • Experience working remotely.
  • Prior consulting experience preferred.
At Servant, we believe in the power of diversity and inclusion. We are an equal opportunity employer and encourage individuals from all backgrounds to apply.

Job Features

Job Category

Data Science, Data Visualization

The Company At Servant Digital, we specialize in empowering leaders and organizations within faith communities through innovative digital transformation and change management solutions. We are committ…View more

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Salary -$200k/yr – $400k/yr
Hybrid
Posted 3 months ago
Tasks

TasksTasks

We are looking for dedicated candidates with experience in the area of AI & Data Analytics for our Consulting Team who enjoy developing durable solutions that generate a direct impact for our customers in collaboration with a diverse set of consultants and data experts. The following topics are of specific interest:
  • Executes exciting project opportunities using Data and Analytics / Data Science skills with Fortune 500 companies across different industries including Aerospace, Automotive, Transportation, Consumer Goods, and Industrial Goods
  • Owns and drives individual work streams during client engagements
  • Analyzes current situation and develops clear understanding and critical perspective of underlying root causes
  • Design discrete optimization solutions and independently develops and implements project concepts and final deliverables, including analytics approaches from understanding the challenge to solution implementation (e.g. in the areas of mixed integer optimization and resource-constrained network optimization)
  • Supports the management and responsible parties of the project
  • Serves as liaison to client management team and project team
  • Supports business development by creating and presenting exceptional project proposals with direct support of leadership team
  • Provides ongoing project feedback and other development support to Porsche Consulting team members
Qualifications

QualificationsQualifications

Qualifications:
  • Willingness to travel (traveling domestic and abroad)
  • Excellent command of English, where additional language skills are a distinct advantage
  • Application of advanced optimization methods (describe problem/constraint set, apply/adjust heuristics and model assessment) to process real world data and planning restrictions in a business/management context
Required Qualifications
  • Bachelors’ degree from renowned institutions of higher education, and demonstrated high academic track record. Major in STEM (Science, Technology, Engineering and Mathematics).
  • 7 years of total relevant professional experience; or minimum of 5 years of relevant professional experience in conjunction with a graduate degree
  • Progressive experience in project management roles and proven track record delivering projects
  • Demonstrable expertise in the areas of analytical methods and technologies (e.g. machine learning, optimization and operations research) and selected frameworks/software (e.g. OpenMDAO, GEKKO or Gurobi)
  • 2+ years of experience in data management and analytics platforms/programming (e.g. SQL, R, Python, Tableau)
  • Experience with development and implementation of strategic initiatives or transformation programs
  • High level of business acumen and consultative expertise
  • Comfort in working in environments with a high degree of ambiguity and having the ability to define and independently drive towards clear objectives
  • Expertise in qualitative and quantitative research
  • Flexibility and willingness to travel up to 80%
  • Excellent verbal and written communication skills
  • Ability to structure large amounts of data into a clear narrative while driving appropriate focus on key elements and leading towards a defined outcome or recommendation
  • Proficient computer skills with MS Office applications
  • Strong desire to mentor and assist in the professional development of colleagues
Preferred Qualifications
  • MBA or graduate degree from renowned institutions of higher education
  • Second language fluency in Spanish or French a plus
At a Glance

At a GlanceAt a Glance

Porsche Consulting, Inc., a wholly owned subsidiary of Porsche AG, guides internal and external clients toward operational excellence through a unique combination of proven strategies and comprehensive implementation. Our mission is to develop enthusiasm for change within our clients to help them realize lasting gains. As a leading consultancy for putting strategies into practice, we have a marked impact on the businesses we work with: measurable results, solutions in place with lasting effect, clients eager to own our approach. As consultants we think strategically and act pragmatically. We focus on people. This is how we generate competitive success.

Job Features

Job Category

Data Analyst, Data Engineer, Data Science

Tasks TasksTasks We are looking for dedicated candidates with experience in the area of AI & Data Analytics for our Consulting Team who enjoy developing durable solutions that generate a direct im…View more

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Salary- $105.8K/yr – $174.8K/yr
Remote
Posted 3 months ago

We are seeking an experienced project manager with strong business analysis expertise to lead cross-functional projects from concept to delivery. The ideal candidate will bridge the gap between business stakeholders and technical teams, ensuring projects are delivered on time, within scope, and aligned with strategic business goals.

This role requires a blend of project leadership, analytical thinking, and stakeholder management, with the ability to translate business requirements into actionable project plans.

Key Responsibilities

  • Lead end-to-end project lifecycle planning, execution, monitoring, and delivery

  • Act as a Business Analyst to gather, analyze, and document business requirements

  • Translate business needs into functional and technical specifications

  • Coordinate with engineering, product, cybersecurity, and data teams

  • Manage project scope, timelines, budgets, and risks effectively

  • Facilitate stakeholder meetings, workshops, and project reviews

  • Track KPIs, project performance metrics, and deliver status reports

  • Ensure compliance with organizational standards and governance frameworks

  • Identify process improvements and optimize project workflows

Required Qualifications

  • Bachelor’s degree in Business, Information Systems, Engineering, or related field

  • 8+ years of experience in Project Management and Business Analysis roles

  • Proven experience managing complex, large-scale projects

  • Strong understanding of Agile, Scrum, and Waterfall methodologies

  • Excellent communication, documentation, and stakeholder management skills

  • Experience with project management tools (Jira, Confluence, MS Project, Asana, etc.)

  • Strong analytical and problem-solving abilities

Preferred Qualifications

  • PMP, PMI-ACP, CBAP, or Agile certification

  • Experience working with AI, cybersecurity, or data-driven projects

  • Background in digital transformation or enterprise technology programs

  • Experience working in a US-based enterprise or consulting environment

Why Join Us ?

  • Competitive salary range of $180K–$200K

  • Opportunity to lead high-impact strategic projects

  • Collaborative, innovative, and growth-focused environment

  • Exposure to cutting-edge technologies and enterprise clients

Job Features

Job Category

Business Analyst, Data Science

We are seeking an experienced project manager with strong business analysis expertise to lead cross-functional projects from concept to delivery. The ideal candidate will bridge the gap between busine…View more

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