MLOps Engineer

Job Title: MLOps Engineer

Experience: 2+ Years

Location: Vapi, Gujarat (On-site)

Employment Type: Full-time

Job Summary

We are looking for an MLOps Engineer to build, deploy, and maintain scalable machine learning infrastructure. The ideal candidate will bridge the gap between data science and engineering by ensuring reliable model deployment, monitoring, and lifecycle management in production environments.

Key Responsibilities

• Design and maintain ML pipelines for training, testing, and deployment
• Deploy and monitor ML models in production environments
• Automate model versioning, retraining, and CI/CD workflows
• Manage data pipelines and feature stores
• Monitor model performance, drift, and system health
• Collaborate with data scientists, AI engineers, and backend teams
• Ensure scalability, reliability, and security of ML systems
• Maintain clear documentation and best practices

Required Skills & Qualifications

• 2+ years of experience in MLOps / ML Engineering / DevOps
• Strong programming skills in Python
• Experience with Docker and Kubernetes
• Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI)
• Familiarity with ML frameworks (PyTorch, TensorFlow, Scikit-learn)
• Experience with model deployment and monitoring