Job Description

We are looking for a skilled Azure Machine Learning Engineer to design, build, and deploy scalable machine learning solutions on Microsoft Azure. You will work with data scientists, software engineers, and business teams to develop AI-driven solutions, including projects in finance, banking, and fintech domains.

Candidates with a finance background and strong technical skills are highly encouraged to apply.

Key Responsibilities

• Design and deploy machine learning models using Azure Machine Learning

• Build and manage ML pipelines using Python, Azure ML Studio, and Azure DevOps

• Analyze large datasets, including financial and transactional data

• Develop predictive models for risk analysis, fraud detection, and forecasting

• Integrate ML models into production systems and APIs

• Monitor, optimize, and retrain models for performance and accuracy

• Ensure data security, compliance, and system scalability

• Collaborate with cross-functional technical and finance teams

Required Skills & Qualifications

• 3+ years of experience in Machine Learning, Data Engineering, or related roles

• Strong knowledge of Microsoft Azure (Azure ML, Azure Data Factory, Azure Storage, AKS)

• Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch)

• Experience with MLOps and CI/CD pipelines

• Understanding of statistics, data modeling, and model evaluation

• Bachelor’s or Master’s degree in Computer Science, Data Science, Finance, Engineering, or related field

• Candidates with finance, banking, accounting, or economics background may apply

Nice to Have

• Microsoft Azure AI or Data Scientist certification

• Experience in fintech, trading systems, or financial analytics

• Knowledge of Spark, Databricks, Docker, and Kubernetes

Why Join Us?

• Competitive salary: $150k – $200k

• Work on real-world AI projects in finance and enterprise domains

• Strong career growth and certification support

• Flexible working options

• Supportive and innovative work culture