MLOps Engineer

Yavar.ai

5 years

0 Lacs

Coimbatore Tamil Nadu India

Posted:3 months ago| Platform:

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Skills Required

ml training automate model deployment scalability reliability ai docker latency design monitoring logging security compliance governance data versioning pipeline devops automation kubernetes terraform aws azure github tensorflow pytorch mlflow microservices debugging certifications etl ethics gcp management jenkins stack collaboration documentation slack confluence jira cutting technology compensation engineering leadership vision drive

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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