DevOps/MLOps Engineer

2 days ago


Pune, Maharashtra, India Onelab Ventures Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Description
We are looking for a skilled DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have hands-on experience in AWS Cloud, scripting, and automation, along with proven skills in deploying and managing machine learning pipelines in production.

Key Responsibilities

  • Design, implement, and maintain CI/CD pipelines for ML model training, testing, and deployment.
  • Manage containerization & orchestration using Docker and Kubernetes.
  • Automate infrastructure provisioning using Implement and manage MLOps tools (Kubeflow, MLflow, Airflow, SageMaker, etc.).
  • Ensure scalability, reliability, and monitoring of ML/AI production systems.
  • Work closely with data scientists and ML engineers to operationalize ML models.
  • Develop automation scripts in Python/Bash to streamline workflows.
  • Implement and manage AWS cloud services (EC2, S3, EKS/ECS, Lambda, RDS, IAM, Secrets Manager).
  • Ensure compliance with security, cost optimization, and performance best practices.

Required Skills & Experience

  • 7+ years of experience as a DevOps/MLOps Engineer.
  • Strong hands-on expertise in AWS Cloud (compute, storage, serverless, IAM).
  • Solid knowledge of CI/CD tools (GitLab CI/CD, Jenkins, ArgoCD).
  • Proficiency in Docker & Kubernetes for container orchestration.
  • Experience with MLOps tools : Kubeflow, MLflow, Airflow, SageMaker, or similar.
  • Strong scripting/programming skills in Python and Bash.
  • Experience with monitoring/logging tools (Prometheus, Grafana, ELK stack).
  • Familiarity with data version control (DVC, Git) and feature stores is a plus.
  • Excellent troubleshooting and problem-solving skills.

Good To Have

  • Experience with multi-cloud (GCP/Azure ML).
  • Familiarity with TorchServe, BentoML, KFServing for model serving.
  • Knowledge of security & compliance in ML pipelines.

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