Location: Hyderabad Experience: 2–5 Years Employment Type: Full time About The Role We are looking for an experienced MLOps Engineer to build, deploy, and maintain scalable machine learning systems. You will work closely with data scientists and engineering teams to operationalize ML models and ensure reliability in production.

Key Responsibilities Design, build, and manage end-to-end ML pipelines

Deploy and maintain machine learning models in production

Implement CI/CD pipelines for ML workflows

Automate model training, versioning, and deployment processes

Monitor model performance, data drift, and system health

Manage containerized deployments using Docker and Kubernetes

Collaborate with cross-functional teams to improve ML delivery

Ensure best practices in scalability, security, and reliability Required Skills & Qualifications 2–5 years of experience in MLOps, DevOps, or ML Engineering

Solid proficiency in Python





Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)

Experience with Docker and Kubernetes

Knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.)

Experience with cloud platforms (AWS, Azure, or GCP)

Understanding of ML lifecycle, deployment, and monitoring Good to Have Experience with MLflow, Kubeflow, Airflow, or similar tools

Knowledge of data pipelines and ETL processes

Familiarity with infrastructure as code (Terraform, CloudFormation)

Experience with monitoring tools and logging frameworks What We Offer Work on real-world, production ML systems

Opportunity to collaborate with AI and data science teams

Continuous learning and growth opportunities opportunities

📌 Mlops Engineer Hyderabad (India)
🏢 eazygurus IT Training
📍 India