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 Dev Ops , 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.
Solid understanding of Azure-based AI/ML ecosystem and cloud services.
Primary Skills
Azure Machine Learning Studio
Python
Machine Learning & MLOps
Azure Dev Ops
Azure Functions
Cosmos DB
Azure Key Vault
Snowflake
Model Deployment & Retraining Pipelines
CI/CD for ML
Batch Data Processing
Performance Optimization