AI Engineer_ MLOPs_ 3 to 5yrs
Core
Build and maintain production-grade MLOps systems, automating the deployment, monitoring, and operations of machine learning models for Fractal clients.
Role type
Senior MLOps Engineer (Server-side)
Builds
Scalable ML pipelines, MLOps components, and production-ready model deployment infrastructure
Domain
Enterprise AI, Cloud Infrastructure, Data Engineering
Deliverable
production ML models
Required skills
Python, PySpark, Java, C#, C++, SQL, Git, Docker, CI/CD, Cloud platforms (AWS/Azure/GCP), MLFlow, Kubeflow, DataRobot, HopsWorks, Dataiku
Preferred skills
System Integration, Application Development, DataWarehouse projects
Technologies
AWS, Azure, GCP, MLFlow, Kubeflow, DataRobot, HopsWorks, Dataiku, PySpark, Docker
Responsibilities
Develop scalable ML pipelines; Build and maintain tools for model deployment, monitoring, and operations; Troubleshoot issues in development, testing, and production environments; Enable model tracking and experimentation; Build knowledge base for complex MLOps projects on Cloud/On Prem
Seniority
Mid-Senior, hands-on IC