Applied AI/ML Software Engineer-Supply Chain AI and Decision Intelligence
Tasks
- Build AI SDLC with automated testing
- Create model guardrails for safety and quality
- Define data contracts for scalable deployments
- Design MLOps/LLMOps pipelines
- Design decision intelligence frameworks
- Develop LLM powered applications for decision support
- Develop reusable integration patterns
- Gather business requirements
- Implement agentic workflows for software development
- Implement graph based AI using knowledge graphs
- Integrate and deploy AI models in production
- Maintain automated data driven inference pipelines
- Simulate what if scenarios using generative AI
- Translate requirements into technical specifications
Perks/Benefits
- Childcare support
- Employee resource groups
- Flexible family care days
- Hybrid work
- Medical, dental & vision coverage
- Paid parental leave
- Paid time off
- Relocation assistance
- Tuition assistance
- Vehicle discount program
Skills/Tech-stack
AI Platform | AWS SageMaker | Agentic Workflows | Autogen | Automated testing | Azure ML | COTS Integration | CrewAI | Cypher | Data Contracts | Data integration | GCP | GCP AI | GCP AI Platform | Generative AI | GitHub Copilot | Graph analytics | Knowledge graphs | Kubeflow | LLM | LLMOps | Latency optimization | MLOps | MLflow | Machine Learning | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Vertex AI
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