We are looking for an experienced MLOps Engineer with expertise in Linux, Kubernetes, Terraform, automation, monitoring, and AI/ML platform operations. The candidate will be responsible for building, managing, and optimizing scalable infrastructure and data platforms to support AI/ML and distributed systems workloads.
Key Responsibilities
- Deploy, manage, and optimize AI/ML platforms and data pipelines.
- Build and maintain infrastructure using Terraform and automation tools.
- Manage Kubernetes clusters and containerized environments.
- Monitor system health and performance using Splunk/Grafana.
- Ensure reliability, scalability, and security of distributed systems.
- Automate operational processes and platform management tasks.
- Collaborate with engineering and data teams to support AI/ML workloads.
- Troubleshoot and resolve platform and infrastructure issues.
Mandatory Skills
- Linux Administration
- Terraform (Infrastructure as Code)
- Kubernetes
- Splunk / Grafana
- AI/ML Platform Support
- Data Pipelines
- Distributed Systems
- Automation & Scripting
Preferred Skills
- Python Programming
- CI/CD Tools
- Docker
- Cloud Platforms (AWS/Azure/GCP)
- MLOps Best Practices
📌 ML OPS Engineer (Pune)
🏢 Tata Consultancy Services
📍 Pune
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