Position : Sr. MLOps Engineer
Experience : 7+ Years
Shift : 1 PM – 10 PM IST
Job Description
We’re seeking a Senior MLOps Engineer to design, automate, and manage ML / AI pipelines that support marketing analytics — from model training to production deployment and optimization. The role involves close collaboration with Data Engineering and Data Science teams to ensure scalable, secure, and efficient ML operations.
Key Responsibilities
- Develop and maintain AWS SageMaker pipelines for training, processing, and model management.
- Automate batch insights and deploy precomputed artifacts using DynamoDB + DAX .
- Build on-demand services (Lambda / ECS) for real-time model usage.
- Manage CI / CD pipelines using GitHub Actions and Terraform across environments.
- Monitor ML jobs, costs, and performance using CloudWatch ;
ensure rollback safety.
Enforce security, governance, and infrastructure best practices .Required Skills
7+ years of experience in MLOps / ML Engineering with production ML pipelines.Strong expertise in AWS (SageMaker, Step Functions, ECR, Lambda, DynamoDB, DAX) .Proficiency in Python, Docker, Terraform , and GitHub Actions .Experience in ML model deployment, monitoring, and cost optimization .Excellent collaboration with Data Scientists and Engineers.Qualification
Bachelor’s / Master’s in Computer Science, Engineering, or related field .Proven experience operating ML systems in production with automation and reliability focus.If Intrested. Please submit your CV to khushboo@sourcebae.com or share it via WhatsApp at 8827565832
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