remote
Senior Machine Learning Engineer - Fullscript
ML Engineer
Lead end‑to‑end ML solutions for health tech, building scalable models on AWS, optimizing data pipelines, and driving clinical insights with Python and deep learning.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models that power clinical insights and patient analytics.
- Build and maintain scalable data pipelines on AWS, ensuring data quality and compliance with healthcare regulations.
- Collaborate with cross‑functional teams to translate business requirements into robust ML solutions.
- Implement model monitoring, A/B testing, and continuous improvement workflows to sustain high performance.
- Mentor junior engineers and share best practices in ML engineering and DevOps.
Requirements
- 5+ years of experience in machine learning engineering, preferably in healthcare or related domains.
- Proficiency in Python, SQL, and deep learning frameworks (TensorFlow, PyTorch).
- Hands‑on experience with AWS services (SageMaker, Lambda, S3, Glue).
- Strong background in data engineering, ETL, and data modeling.
- Excellent problem‑solving skills and a passion for delivering data‑driven solutions.
Skills
pythonmachine learningawsdeep learning