MLops Engineer

MLops Engineer

Role: MLops Engineer

Experience: 5- 10 Years

Location: Hyderabad (PAN India)

Notice Period: Immediate- 15 Days

Mandatory Skills: MLops, Python, DevOps, Git, Monitoring Tools

• 5+ years

  of experience in

  MLOps / DevOps / ML engineering

  roles.
• Strong programming skills in

  Python

  (experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn preferred).
• Experience with

  CI/CD tools

  : Jenkins, GitLab CI/CD, or GitHub Actions.
• Hands-on with

  ML lifecycle tools

  : MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, Azure ML, or similar.
• Proficiency with

  containerization and orchestration

  (Docker, Kubernetes, Helm).
• Knowledge of

  cloud services

  (AWS/GCP/Azure) for ML deployment.
• Strong understanding of

  data engineering concepts

  (ETL pipelines, feature engineering, big data frameworks like Spark).
• Experience in

  monitoring & observability

  (Prometheus, Grafana, ELK/EFK stack).
• Solid background in

  version control (Git)

  and infrastructure as code (Terraform, Ansible).
• Strong problem-solving, debugging, and performance optimization skills.

sai.a@s3staff.com