
MLops Engineer
2 weeks ago
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
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