About this role
Job title: 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:
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6+ years in MLOps and backend infrastructure
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Proven experience deploying TensorFlow or PyTorch models
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Strong in scripting, debugging, alerting, and performance tuning
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Hands-on with Kubernetes, Helm charts, and container orchestration
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Tek Leaders Inc. is an equal opportunity employer.
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Job Category: Software Development
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Job Type: Full Time Contract
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Job Location: Hyderabad