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