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Senior Machine Learning Engineer - Faculty AI
ML Engineer
Lead the design, development, and deployment of advanced machine learning models, leveraging Python, TensorFlow/PyTorch, and cloud infrastructure to deliver responsible AI solutions for enterprise clients.
About the role
Key Responsibilities
- Architect, build, and productionize scalable machine learning models for diverse client use‑cases.
- Collaborate with product, data engineering, and research teams to define problem statements and data pipelines.
- Implement robust training, validation, and monitoring workflows using Python, TensorFlow or PyTorch.
- Deploy models on cloud platforms (AWS) with containerization (Docker) and ensure high availability and performance.
- Champion responsible AI practices, including bias detection, model interpretability, and compliance with ethical standards.
Requirements
- 5+ years of professional experience in machine learning engineering or data science.
- Strong proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Hands‑on experience deploying models to AWS using Docker/Kubernetes or similar container orchestration.
- Solid understanding of statistical modeling, feature engineering, and model evaluation techniques.
- Excellent problem‑solving skills and ability to work cross‑functionally in fast‑paced environments.
Skills
pythontensorflowpytorchmachine learningawsdocker