MLOps Engineer

5 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities
  • Develop and manage end-to-end ML pipelines from training to production.
  • Automate model training, validation, and deployment using CI/CD.
  • Ensure scalability and reliability of AI systems with Docker & Kubernetes.
  • Optimize ML model performance for low latency and high availability.
  • Design and maintain cloud-based/hybrid ML infrastructure.
  • Implement monitoring, logging, and alerting for deployed models.
  • Ensure security, compliance, and governance in AI model deployments.
  • Collaborate with Data Scientists, Engineers, and Product Managers.
  • Define and enforce MLOps best practices (versioning, reproducibility, rollback).
  • Maintain model registry and conduct periodic pipeline reviews.

Experience & Skills

  • 5+ years in MLOps, DevOps, or Cloud Engineering.
  • Strong experience in ML model deployment, automation, and monitoring.
  • Proficiency in Kubernetes, Docker, Terraform, and cloud platforms (AWS, Azure, GCP).
  • Hands-on with CI/CD tools (GitHub Actions, Jenkins).
  • Expertise in ML frameworks (TensorFlow, PyTorch, MLflow, Kubeflow).
  • Understanding of APIs, microservices, and infrastructure-as-code.
  • Experience with monitoring tools (Prometheus, Grafana, ELK, Datadog).
  • Strong analytical and debugging skills.
  • Preferred: Cloud or MLOps certifications, real-time ML, ETL, and AI ethics knowledge.

Tools & Technologies

  • Cloud & Infrastructure: AWS, GCP, Azure, Terraform, Kubernetes, Docker.
  • MLOps & Model Management: MLflow, Kubeflow, TFX, SageMaker.
  • CI/CD & Automation: GitHub Actions, Jenkins, ArgoCD, Airflow.
  • Monitoring & Logging: Prometheus, Grafana, ELK Stack, Datadog.
  • Collaboration & Documentation: Slack, Confluence, JIRA, Notion.
Why Join Yavar?
  • Join us at an exciting growth phase, working with cutting-edge AI technology and talented teams. This role offers competitive compensation, equity participation, and the opportunity to shape a world-class engineering organization. Your leadership will be crucial in turning our innovative vision into reality, creating products that reshape how enterprises harness artificial intelligence.
  • *At Yavar, talent knows no boundaries. While experience matters, we value your drive for excellence and ability to execute. Ready to build the future of enterprise AI? We're eager to start a conversation.*
  • To apply, please contact: digital@yavar.ai
  • Location: Chennai / Coimbatore.

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