This is for Govt of India National E-Governance Dept.
If you are from other than Bangalore, it is also fine. Location can be any major city, depending upon specific part of AI mission or hybrid.
Designation: MLOps Engineer
How to apply?
Go to this link. We have our internal tool to take through the flow. There is an optional but preferred AI screening (there is no AI auto rejection)
https://app.careerplan.app/#/a/ChSaAXvBcUHu?jt=MLOps%20Engineer&cpReturnUrl=%2Fjob&job_reference_id=TC-JOB-20260901-D3AXI2
MLOps Engineer
Designation: MLOps Engineer
Educational Qualification:
B.Tech / M.Tech in Computer Science, AI/ML, or related discipline.
Certifications in DevOps or Cloud Infrastructure (AWS, Azure, or GCP) preferred.
Research papers, case studies, or significant open source contributions(are
preferred)
Experience:
3–6 years in operationalizing AI/ML models with proven experience in CI/CD
automation.
Prior exposure to deploying ML pipelines for NLP, computer vision, or speech
systems.
Familiarity with monitoring, model lifecycle management, and performance
logging.
Key Responsibilities:
1. Deploy and manage AI/ML models in development, staging, and production
environments.
2. Build and maintain automated pipelines for continuous integration and delivery
(CI/CD).
3. Implement real-time monitoring for model drift, latency, and inference
performance.
4. Collaborate with Solution Architect and MLOps Lead to standardize deployment
infrastructure.
5. Ensure reproducibility, rollback, and version control for deployed models.
6. Integrate AI services with NeGD’s standard APIs and observability frameworks.
7. Maintain deployment logs, error reports, and environment snapshots for audit
readiness.
Technical Competencies:
Infrastructure Tools: Jenkins, GitLab CI/CD, Docker, Kubernetes.
Monitoring & Logging: Prometheus, Grafana, ELK Stack.
ML Lifecycle Management: MLflow, Kubeflow, DVC.
Cloud Platforms: AWS SageMaker, Azure ML Studio, GCP Vertex AI.
Core: Python, Bash scripting, YAML/JSON configuration, Linux systems.
CI/CD: Jenkins, GitLab CI, or GitHub Actions for automated deployments,
Terraform
Governance: Traceability and Responsible AI compliance in deployment.
Pay: ₹500,000.00 - ₹1,500,000.00 per year
Application Question(s):
- What is your notice period / lead time to join ?
- Do you have any offer in hand?
Work Location: Hybrid remote in Bengaluru, Karnataka
