Forward Deployed Application/ML Engineering Expert
Tasks
- Apply AI evaluation frameworks
- Build agent based workflows
- Communicate solution approaches and progress
- Create vector database solutions
- Deploy operate monitor and ensure reliability
- Design production cloud native enterprise applications
- Develop integrate large language models
- Ensure compliance trust and quality
- Implement Retrieval-Augmented Generation (RAG)
- Integrate data pipelines and MLOps practices
- Manage risks and technical escalations
- Own end-to-end application delivery
- Prototype iterate productionize in customer environments
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Application Architecture | Cloud Native | Data Pipelines | Enterprise SaaS | Evaluation Frameworks | GenAI | Language Models | Large Language Models | MLOps | Machine Learning | Observability | Python | Reliability | Retrieval-Augmented Generation | Scalability | Security | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
Regions
Countries
States
Cities
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