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Key Responsibilities:DevOps Responsibilities

  • Design, build, and maintain CI/CD pipelines for application and ML workloads
  • Manage cloud infrastructure on GCP
  • Configure and maintain containerized applications using Docker.
  • Monitor system performance, availability, and security using monitoring tools
  • Automate deployments, scaling, and system maintenance
  • Collaborate with development and QA teams to streamline release cycles

MLOps Responsibilities

  • Support end-to-end ML model lifecycle: training, versioning, deployment, and monitoring
  • Deploy ML models using GCP services such as Vertex AI, AI Platform, or custom pipelines
  • Implement model versioning, rollback, and performance monitoring
  • Automate ML pipelines using Kubeflow, Airflow, or similar orchestration tools
  • Work closely with Data Scientists to productionize ML models

Required Skills & Qualifications:Cloud & Infrastructure

  • Strong experience with Google Cloud Platform (GCP)
  • (GKE, Compute Engine, Cloud Storage, IAM, VPC, Cloud Build)
  • Working knowledge of AWS (EC2, S3, IAM) is a plusDevOps Tools
  • CI/CD tools: Jenkins, GitLab CI, GitHub Actions
  • Containerization: Docker
  • Monitoring & Logging: Prometheus, Grafana, GCP Monitoring

MLOps & Data

  • Experience with ML model deployment and automation
  • Tools: Vertex AI, MLflow, Airflow or similar Orchestration tools.
  • Understanding of ML workflows, data pipelines, and model performance metrics
  • Python scripting for automation and ML pipelines

Good to Have:

  • Experience with Helm charts
  • Knowledge of security best practices in cloud environments
  • Exposure to microservices architecture
  • Understanding of cost optimization on GCP
  • Experience in production ML environments

Soft Skills:

  • Strong problem-solving and troubleshooting skills
  • Good communication and collaboration abilities
  • Ability to work in fast-paced environments
  • Ownership mindset and proactive approach

Job Types: Full-time, Permanent

Pay: ₹300,000.00 - ₹1,200,000.00 per year

Work Location: In person

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