AI / ML Engineering
The AI/ML domain covers machine learning model development, LLM integration, ML platform engineering, and responsible AI practices at Stratpoint.
Key Technologies
| Category | Primary Stack |
|---|---|
| ML Frameworks | PyTorch, scikit-learn, Hugging Face |
| LLM Integration | LangChain, LlamaIndex, direct API (OpenAI, Anthropic, Gemini) |
| Experiment Tracking | MLflow, Weights & Biases |
| Model Serving | FastAPI, BentoML, AWS SageMaker |
| Infrastructure | Python, Docker, AWS / GCP |
| Notebooks | JupyterHub, Vertex AI Workbench |
What’s in This Section
- Golden Paths — standard ML project and LLM integration setups
- Best Practices — patterns for reproducible, responsible ML systems
- Code Review Checklist — what reviewers look for in AI/ML PRs
- Onboarding — getting up to speed on the AI/ML team
Team Contacts
[To be filled by Capability Lead]
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