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Machine Learning Engineer - Faculty AI
ML Engineer
Lead end‑to‑end AI solutions, building scalable ML models on AWS, leveraging PyTorch, and integrating data pipelines to deliver responsible, high‑impact products.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models using Python and PyTorch on AWS infrastructure.
- Collaborate with cross‑functional teams to translate business problems into data‑driven solutions.
- Build and maintain robust data pipelines, ensuring data quality and accessibility for model training.
- Implement model monitoring, performance tracking, and continuous improvement strategies.
- Advise on responsible AI practices, ensuring fairness, transparency, and compliance.
Requirements
- Strong experience in Python, PyTorch/TensorFlow, and AWS services (SageMaker, EC2, S3).
- Proven track record of deploying ML models at scale in production environments.
- Solid understanding of data engineering concepts and pipeline orchestration.
- Excellent problem‑solving skills and ability to communicate complex ideas clearly.
- Passion for responsible AI and staying current with industry best practices.
Skills
pythonmachine learningawspytorch