Senior Machine Learning Engineer (Azure ML & MLOps)

Role: Senior Machine Learning Engineer (Azure ML & MLOps) Location India (Remote) Key Responsibilities - Build batch jobs for large-scale data processing and machine learning model training.

• Deploy machine learning models using Azure Machine Learning Studio.
• Work with Azure services such as Azure Functions, Cosmos DB, Azure DevOps, Azure Key Vault, and related cloud-native services.
• Evaluate and select appropriate machine learning algorithms, frameworks, and cloud platforms (e.g., Azure, Snowflake).
• Guide teams in model operationalization (MLOps), including model versioning, deployment, and retraining pipelines.
• Ensure AI/ML solutions align with business goals, performance, scalability, and compliance requirements.
• Collaborate with cross-functional teams to define data strategy, governance, and the AI adoption roadmap.

Preferred Qualifications - Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

• 6–10+ years of strong hands-on experience in Machine Learning Engineering and MLOps.
• Proficiency in Python, machine learning libraries, and cloud-native services.
• Experience with large-scale model deployment and performance tuning.
• Strong understanding of Azure-based AI/ML ecosystem and cloud services.

Primary

Skills - Azure Machine Learning Studio

• Python
• Machine Learning & MLOps
• Azure DevOps
• Azure Functions
• Cosmos DB
• Azure Key Vault
• Snowflake
• Model Deployment & Retraining Pipelines
• CI/CD for ML
• Batch Data Processing
• Performance Optimization