MLops Engineer

This role is for one of Weekday’s clients

Min Experience: 5 years

Location: Hyderabad

JobType: full-time

Requirements

At Techsophy, we are driving transformation for global enterprises with cutting-edge AI and automation. We are seeking an MLOps Engineer (with 5+ years of experience) who can bridge the gap between Machine Learning and DevOps, building scalable ML pipelines and ensuring models thrive in real-world production environments.

What You’Ll Do

• Design, build, and optimize end-to-end ML pipelines from data ingestion to deployment.
• Collaborate with Data Scientists, Data Engineers, and Cloud Architects to bring AI models to life.
• Implement CI/CD for ML workflows, ensuring seamless integration and faster releases.
• Deploy ML models in cloud & containerized environments (AWS/GCP/Azure, Kubernetes, Docker).
• Set up monitoring systems for model performance, drift detection, and observability.
• Automate infrastructure with Terraform, Helm, and Kubernetes operators.
• Ensure compliance, scalability, and cost-optimized ML solutions for our enterprise client.

What You Bring

• 5+ years of experience in MLOps / DevOps for ML systems.
• Strong coding skills in Python, Bash, and CI/CD tools (Jenkins, GitHub Actions, GitLab CI).
• Hands-on expertise with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Deep knowledge of Docker, Kubernetes, Airflow/Prefect, and MLflow/Weights & Biases.
• Experience with cloud ML services: AWS SageMaker, Azure ML, or GCP Vertex AI.
• Solid understanding of data versioning (DVC, LakeFS) and feature stores (Feast).
• Passion for automation, scaling ML systems, and solving real-world AI challenges.