Qualifications:
• 12-14 years of experience in data science and machine learning algorithms, with at least 3 years of leading and managing a software development team.
• Strong understanding of modern ML approaches (e.g., GBDT, CNN, LSTM, GRU, HRNN, transformer models, variational auto-encoders).
• Experience with Classical ML Techniques, Deep Learning, NLP, LLMs, Causal Inference, and proficiency in ML tools and frameworks (Keras, PyTorch, scikit-learn, Spark).
• Proficiency in programming languages such as Python or R.
• Experience with implementing and managing MLOps frameworks to enhance reproducibility, scalability, and maintainability of machine learning models.
• Familiarity with real-world ML systems, including configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, and monitoring.
• Experience with offline experimentation and A/B testing.
• Good understanding of