Minimum Requirements: Education: BSc/MSc in Computer Science, Electrical Engineering, Data Science, Mathematics, or related field 4 years of hands-on experience building and shipping ML models. Core ML skills: solid grasp of supervised/unsupervised learning, evaluation for imbalanced data, feature engineering, cross ‑ validation, and error analysis. Programming & data: proficiency in Python, SQL; strong with pandas, NumPy, scikit ‑ learn; experience with at least one deep learning framework (PyTorch or TensorFlow). Systems & performance mindset: demonstrated ability to design models under resource constraints (CPU/memory/IO) and latency budgets; comfortable profiling and optimizing code and inference paths. Data handling: experience building robust data pipelines; ability to work with messy, high ‑ volume logs and streaming data; strong data quality and validation practices. Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
