DevOps / MLOps Engineer
Godrej Properties (company site, opens in a new tab)4–6 yrsMumbaiOn-siteDirect career pageEst. 8–18 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain CI/CD pipelines for frontend, backend, data pipelines, ML models, and GenAI/LLM apps across dev/test/prod environments.
- Own runtime operations including environment management, configuration, secrets, rollouts/rollbacks, release coordination, and troubleshooting production issues.
- Enable ML/LLM operationalization with model packaging, deployment (batch + real-time), version promotion, evaluation checks, and LLMOps workflows including prompt/version management and monitoring.
Minimum Requirements
- 4-6 years of work experience in DevOps/Platform Engineering/SRE/MLOps/LLMOps or similar roles.
- Strong hands-on experience with containers (Docker) and orchestration concepts (Kubernetes or similar).
- Proficiency in CI/CD practices and pipeline tooling (GitHub/GitLab/Azure DevOps/Jenkins or equivalents).
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent hands-on experience).
Ideal Candidate Profile
- Experienced in end-to-end production release management for full-stack applications with automation across multiple environments.
- Skilled in ML/GenAI/LLM operational workflows including model versioning, packaging, monitoring, and deployment patterns.
- Capable of managing runtime platform consistency, security controls, observability, and cost/performance optimization for AI workloads.