AI/ML Engineer - Supply Chain
Tasks
- Build LLM-based applications
- Create agentic workflows
- Deploy pre developed AI models on GCP
- Design data contracts for scalability
- Develop AI decision-support tools
- Develop front end analytics visuals
- Elicit business requirements
- Implement AI driven SDLC
- Implement automated testing
- Modernize reporting into AI based analytics solutions
- Participate in architecture and code reviews
- Plan production readiness assessments
- Research and develop proofs-of-concept
- Standardize integration patterns
- Support UAT and defect resolution
- Translate requirements into technical specifications
Perks/Benefits
- Child care subsidy
- Community service time
- Dental insurance
- Employee resource groups
- Health insurance
- Paid Holidays
- Paid parental leave
- Paid time off
- Tuition assistance
- Vehicle Discount
- Vision insurance
Skills/Tech-stack
AI Platform | API Authentication | API authorization | Autogen | CI/CD | Continuous Testing | Cost Optimization | CrewAI | DeepEval | Docker | Dynatrace | Embeddings | FastAPI | Flask | GCP | Git | GitHub | GitHub Actions | GitHub Copilot | Grafana | Jenkins | Kubeflow | Kubernetes | LLMOps | Langchain | Langgraph | MLflow | Model Context Protocol | NoSQL | Observability | Prompt engineering | Python | RAG | RAG Pipelines | REST | Ragas | SQL | Tekton | Terraform | Vector Search | Vertex AI | Vertex AI AI Platform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer | Software Engineer
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