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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