Machine Learning Engineer / MLOps Expert
$180,000–$220,000 year
On-siteBengaluru, Karnataka, India
Bengaluru, Karnataka, IndiaOn-siteFull Time$180,000–$220,000 yearStartup
Full TimeStartup
Job Summary
Lead the end-to-end ML lifecycle, developing automated pipelines and deploying production-grade models using Docker, FastAPI, and AWS multi-cloud environments. Manage model registry, versioning, and drift detection while optimizing batch and real-time inference performance. Execute CI/CD automation via GitHub Actions and ensure robust monitoring for all AI systems. Requires 8–12 years of experience in MLOps, Python, and ML frameworks. Based in Bangalore, this Team Lead/Consultant role offers a CTC up to ₹23 LPA with on-site work.
Required Qualifications
- Strong hands-on experience in Machine Learning Operations (MLOps)
- ML Pipeline Development & Automation
- Model Deployment using Docker & FastAPI
- Experience with AWS and Multi-Cloud environments
- MLFlow (Mandatory)
- Apache Airflow (Mandatory)
- CI/CD using GitHub Actions or similar tools
- Model Registry, Versioning & Lifecycle Management
- Batch & Real-time Inference
- Model Monitoring, Drift Detection & Performance Optimization
- Experience with Machine Learning frameworks
- Strong Python programming skills
- Excellent analytical, troubleshooting, and stakeholder management skills
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