Job Summary (Senior Data Scientist Machine Learning):
- Design develop and productionize AI/ML models that drive measurable business impact.
- Manage the full AI/ML lifecycle: framing business problems shaping and preparing datasets model training and deployment using MLOps best practices.
- Monitor model performance post-launch to ensure accuracy reliability and alignment with business objectives.
- Translate complex business requirements into actionable AI solutions.
- Promote transparency across key AI/ML processes and performance indicators.
- Apply expertise in deep learning statistical methods and Responsible AI principles especially in regulated industries such as aviation or transportation.
- Use tools such as Python R SQL TensorFlow PyTorch Keras scikit-learn Hugging Face Docker Kubernetes Git CI/CD and Streamlit for end-to-end ML development and deployment.