Godrej Consumer Products Limited is Hiring DevOps / MLOps Engineer

Godrej Consumer Products Limited (GCPL) is hiring a DevOps / MLOps Engineer to build and manage scalable CI/CD pipelines, cloud infrastructure, and AI/ML deployment workflows. This role blends DevOps, MLOps, and LLMOps, making it ideal for engineers interested in modern AI-driven platforms and automation.

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Job Details

Company: Godrej Consumer Products Limited (GCPL)

Role: DevOps / MLOps Engineer

Location: Mumbai, Maharashtra

Experience: 4–6 Years

Employment Type: Full-Time

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About the Company

GCPL is part of the Godrej Industries Group, serving over 1.1 billion consumers globally across multiple sectors. Known for innovation and strong values, Godrej is a leader in consumer products, hair care, and household solutions.

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Key Skills Required

- Strong DevOps fundamentals: CI/CD, release management, automation

- Tools: GitHub / GitLab / Jenkins / Azure DevOps

- Containers: Docker, Kubernetes

- Infrastructure as Code: Terraform / CloudFormation / Ansible

- Strong Linux and networking fundamentals

- Observability: Logging, metrics, tracing, alerting

- Security basics: IAM, secrets management, vulnerability scanning

- Experience with cloud platforms (AWS / Azure / GCP)

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MLOps / LLMOps Skills

- Model deployment and versioning workflows

- Supporting ML pipelines and automation

- Understanding of LLM applications (RAG, prompt/version management)

- Monitoring model performance, latency, and cost

- Exposure to tools like MLflow, feature stores (plus)

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Roles & Responsibilities

- Build and manage CI/CD pipelines for applications and ML systems

- Automate build, test, deployment, and release workflows

- Create reusable IaC modules and deployment templates

- Manage runtime environments, secrets, and configurations

- Enable ML/LLM deployment pipelines and workflows

- Implement monitoring, logging, and alerting systems

- Ensure security best practices and compliance

- Optimize infrastructure for performance and cost efficiency

- Troubleshoot production issues and perform root cause analysis

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Good to Have

- Experience with data orchestration tools (Airflow, Prefect)

- Exposure to event streaming, API gateways, caching, service mesh

- Familiarity with LLMOps tools and vector databases

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Education

- Bachelor’s degree in Computer Science / Engineering or related field

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What We Offer

- Work on cutting-edge DevOps + AI/ML systems

- Exposure to enterprise-scale infrastructure and platforms

- Inclusive, diverse, and employee-friendly culture

- Strong focus on wellness, flexibility, and career growth

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Benefits Highlights

- Comprehensive health insurance & wellness programs

- Flexible work options and remote/hybrid opportunities

- Parental benefits including paid caregiver leave

- Inclusive policies including LGBTQ+ support and equal opportunity

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How to Apply

Apply using below link

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