MLOps Engineer

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: connect@tekleaders.com Tek Leaders Inc. is an equal opportunity employer.