Senior AI Developer

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‑functional team...