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 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.

(ref : hirist.tech)