Senior Engineer Data Science

Your Role

Key responsibilities in your new role

• Model Development & Delivery
  • Design, build, and validate ML/DL models across diverse domains (computer vision, NLP, predictive analytics, anomaly detection)
  • Oversee and drive the full model lifecycle: problem framing, data engineering, experimentation, evaluation, and deployment—collaborating with engineers and analysts for implementation
  • Apply rigorous statistical methods, hypothesis testing, and feature engineering to produce production-quality models
  • Monitor deployed AI models against KPIs; detect performance drift and trigger calibration, re‑training, or architectural updates
  • Benchmark models and deliver structured evaluation reports to technical and business stakeholders
• Agentic AI & Generative AI Application
  • Develop and maintain LLM-powered solutions including RAG pipelines, AI agents, and multi-step tool‑calling workflo...