Machine Learning Engineer

Overview

Job Description Machine Learning Engineer

Company: Boston Human Capital Partners, Inc.

Location: Cambridge, MA (On-site, Remote)

Type: Full-time

Posted: 15 hours ago

• Develop state-of-the-art computer vision models for breast cancer risk prediction.
• Continuously improve Company’s ML development pipeline.
• Assist team with data collection and infrastructure work.
• Conduct model validation in collaboration with academic and clinical partners.
• Provide engineering assistance for regulatory submissions.
• Write publications in peer-reviewed literature and generate Intellectual Property materials.

• 5+ years of ML development work in a corporate setting in a fast-paced environment
• 5+ years of developing Computer Vision ML models (deep learning, image processing, large vision models) for image analysis, image segmentation and image classification tasks
• Demonstrated innovations in ML and/or Software as a Medical Device using ML
• Practical experience of the following technologies:
• ML architectures: CNN, Vision Transformers, large vision models
• ML toolkits:
  Tensor Flow, Keras, scikit-learn, Py Torch
• Cloud: ML Managed services, preferably on AWS
• ML:
  Tensor Flow, Sage Maker Pipelines
• Databases: data warehouse and relational databases
• Deployment:
  Docker containers, AWS Code Pipeline
• Pipeline orchestration: AWS Step Functions, Airflow, MLFlow
• Application exchange: REST API, JSON
• Programming languages:
  Python
• Software tools:
  Git, Git Hub, JIRA, Confluence

• Corporate experience in the regulated medical imaging or healthcare IT industry
• Prior experience of implementing orchestration and data management workflow solutions
• Understanding of Software Development Life Cycle for software medical devices
• Experience in version control of ML models (code, data, config, model) and model registries

• Undergraduate degree in Computer Science or Engineering. Master’s degree or PhD in computer science or engineering preferred.