- Implement advanced ML solutions and model deployment strategies (MLOps).
- Build generative AI components and pipelines, including RAG architectures, orchestration layers, and evaluation frameworks.
- Contribute to AI governance, observability, monitoring, and responsible AI practices.
- Contribute to the design and documentation of AI solutions.
- Implement Python tasks and microservices using frameworks such as FastAPI, Flask, and Pydantic.
PythonFlaskNumpy+3 more