Machine Learning Engineer- AI
Tasks
- Architect build and document applications in Python
- Build and deploy applications on OpenShift and Kubernetes
- Build retrieval-augmented generation pipelines
- Collaborate with product, program, and engineering teams
- Design and optimize RAG pipelines
- Design scalable distributed machine learning solutions
- Develop Agentic AI applications
- Ensure non functional requirements performance scalability resiliency security
- Implement business logic and data models
- Mentor and coach engineers
- Resolve production bugs and performance issues
- Review code merge requests
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | As-a-Service | Autogen | Cause analysis | Cloud platform | Continuous Delivery | Distributed Systems | Generative AI | Google Cloud | Google Cloud Platform | GraphRAG | HTTP | InstructLab | JQn?N/A | Jenkins | Kubernetes | LLamaStack | Langchain | Langgraph | Machine Learning | Maintainability | OpenShift | Performance Engineering | Platform as a Service | Python | RAG | REST | Resiliency | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | Scalability | Security
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
Regions
Countries
States
Cities
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