onsite
Machine Learning Engineer - NYU Langone Health
ML Engineer
Machine Learning Engineer building scalable AI solutions for medical research and patient care, leveraging Python, TensorFlow, and AWS to develop predictive models and data pipelines.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models to support clinical research and patient care initiatives.
- Build and maintain end‑to‑end data pipelines using SQL, Python, and AWS services (S3, SageMaker, Lambda).
- Collaborate with data scientists, clinicians, and software engineers to translate research questions into production‑ready solutions.
- Implement model monitoring, versioning, and performance evaluation to ensure reliability and compliance with healthcare standards.
- Document model architecture, data preprocessing steps, and deployment procedures for reproducibility.
Requirements
- 3+ years of experience in machine learning engineering within a research or clinical environment.
- Hands‑on experience with AWS services such as SageMaker, S3, and Lambda.
- Strong understanding of model deployment, monitoring, and CI/CD pipelines.
- Excellent communication skills and ability to work cross‑functionally in a multidisciplinary team.
Skills
pythonmachine learningawsdeep learningtensorflowsql