Job Description
Responsibilities:
- Lead end‑to‑end development of AI/ML solutions from discovery and PoC through production, monitoring, and continuous improvement.
- Build GenAI applications (e.g., RAG, summarization, code assistants, document intelligence) that accelerate engineering and project workflows.
- Design and implement data pipelines and feature stores integrate structured, unstructured, and geospatial data at scale.
- Develop scalable APIs/microservices for model serving and orchestration using Python and modern frameworks.
- Implement ML Ops (CI/CD, containers, model registry, AWS/GCP as needed) and managed AI services (e.g., Azure OpenAI).
- Ensure security, privacy, and responsible AI practices observability, retraining) to ensure reliable deployments.
- Leverage cloud platforms (AZURE preferred including governance, model risk management, and bias/robustness checks.
- Collaborate with cross‑func...
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