• Design and implement machine learning algorithms across a range of platforms, from lightweight embedded devices to scalable transformer-based architectures
  • Analyze and extract insights from large-scale data lakes, applying statistical and ML techniques to real-world datasets
  • Develop and deploy models using Python and standard libraries such as scikit-learn, pandas, NumPy, and PyTorch or TensorFlow
  • Leverage cloud technologies for data processing, model training, and deployment pipelines
  • Collaborate with cross-functional teams to prototype and validate innovative solutions that support our digital product roadmap.