MLOps Engineer

Job Opportunity : MLOps Engineer (3+ Years)

Location : Hyderabad

At Techsophy, we are driving transformation for global enterprises with cutting-edge AI and automation. We are looking for an MLOps Engineer (3+ years experience) who can bridge the gap between Machine Learning and DevOpsbuilding scalable ML pipelines and ensuring models thrive in real-world production environments.

What Youll 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.

- Ensure compliance, scalability, and cost-optimized ML solutions for our enterprise client.

What You Bring :

- 3+ 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.