Senior ML Engineer
On-site · Bengaluru, Karnataka, India
Job Summary
Design, build, and scale end-to-end ML pipelines; productionize models and embed them into enterprise applications; collaborate with data scientists to optimize performance, scalability, and cost in production environments; monitor model performance with retraining and governance; leverage AWS/Azure services and Databricks for scalable data processing and model training; ensure robust, reliable, and governed ML solutions aligned with enterprise architecture and responsible AI principles.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or related quantitative field
- Strong experience building and deploying ML solutions on AWS and Azure (SageMaker, Azure Machine Learning)
- Hands-on expertise with Databricks (Spark, Delta Lake) for scalable data processing
- Proficiency with Azure DevOps and GitHub for source control, CI/CD pipelines, and MLOps practices
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