Senior AI/ML Engineer
2 weeks ago
5+ years professional experience in Machine Learning / Data Science / ML Engineering.
- Strong proficiency in Python (pandas, NumPy, scikit-learn).
- Hands-on experience with machine learning frameworks (PyTorch or TensorFlow).
- Solid SQL skills and comfort working with large, messy enterprise datasets.
- Proven track record of taking AI/ML solutions from prototype to production.
- Experience deploying models as APIs (FastAPI, Flask, or similar) and packaging with Docker.
- Practical knowledge of time-series forecasting and predictive modeling.
- Experience with mathematical optimization (linear programming, OR-Tools, Pyomo, or equivalent).
- Strong data engineering capability: building ETL pipelines and feature engineering.
- Ability to work end-to-end across the ML lifecycle (data → model → deployment → monitoring).
- Comfortable working as a solo contributor in a fast-paced startup environment.
- Strong communication skills: able to explain technical work in terms of business outcomes.
Job Type: Full-time
Experience:
- Machine Learning / Data Science / ML Engineering: 5 years (Preferred)
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