Senior AI Engineering Ops - Chennai

Job Summary (List Format) : Mid-Level DevOps Engineer

• Design, implement, and maintain CI / CD pipelines using tools such as Jenkins, GitLab CI, Azure DevOps, or Cloud Build.
• Manage and optimize Kubernetes clusters for deploying microservices.
• Develop and maintain Infrastructure as Code (IaC) using Terraform, Helm, or Ansible.
• Implement monitoring, logging, and alerting using Prometheus, Grafana, and ELK stack.
• Build and manage scalable, secure cloud infrastructure on GCP and Azure, including services like Cloud Run and Dataflow.
• Write and maintain automation scripts (Bash, Python) to increase operational efficiency.
• Troubleshoot and resolve production issues to improve system reliability, performance, and scalability.
• Enforce security best practices in CI / CD processes, cloud infrastructure, and automation.
• Collaborate with the Data Platform team to deploy and optimize AI / ML workloads.
• Support deployment and management of ML models using Kubernetes, Kubeflow, or MLflow.
• Work with AI / ML tools and frameworks (LLMs, RAG, LangChain, Hugging Face, Ollama, vLLM, etc.).
• Understand and support data pipelines and ETL workflows (Airflow, Dataflow, Databricks).
• Apply knowledge of Linux systems for infrastructure management and automation.
• Stay updated with MLOps and AI / ML infrastructure automation best practices.
• Communicate and collaborate effectively with cross-functional teams in a fast-paced environment.