Experience: 4–8 Years (6+ Years Preferred in MLOps & Backend Infrastructure) Location: On-site – Pune / Bangalore / Noida / Gurgaon Notice Period: Immediate to 15 Days Preferred Job Category: MLOps / AI Infrastructure / DevOps Job Type: Full-time / Contract Open Positions: 3 Tek Leaders Inc. is hiring skilled MLOps Engineers to support production-scale AI/ML initiatives for a key enterprise client. The role involves building robust deployment pipelines, ensuring scalability, and maintaining operational health for machine learning workloads across cloud environments. Key Responsibilities: • Design and manage end-to-end CI/CD pipelines for ML model deployment • Containerize ML applications using Docker and deploy via Azure ML (or AWS/GCP) • Configure real-time monitoring dashboards using Prometheus and Grafana • Implement Kubernetes-based orchestration for scalable model serving (preferred) • Optimize deployment workflows, automate testing, and manage infrastructure scripts • Collaborate with data scientists for seamless model rollout and A/B testing • Ensure system performance, uptime, and alerting across environments Required Skills: • Docker, CI/CD pipelines (GitLab, Jenkins, etc.) • Linux environment management • Azure ML, or equivalent ML deployment on AWS/GCP • Monitoring: Grafana, Prometheus • Git, Python scripting • Experience with ML model deployment workflows Preferred Qualifications: • 6+ years in MLOps and backend infrastructure • Proven experience deploying TensorFlow or PyTorch models • Strong in scripting, debugging, alerting, and performance tuning • Hands-on with Kubernetes, Helm charts, and container orchestration 📩 If interested, share your profile at: [email protected] Tek Leaders Inc. is an equal opportunity employer.