Machine Learning Engineer

Somatus is a leading provider of outcomes-driven care for individuals living with chronic conditions. As a Machine Learning Engineer, you will collaborate with data and technology teams to develop machine learning solutions that enhance patient care and operational efficiency.

Responsibilities:

• Partner with ML engineers, data engineers, software developers, product managers, data analysts, and clinical and operations team members to deliver machine learning solutions that make an impact
• Assist with end-to-end lifecycle for AI and machine learning projects, including idea generation, data and feature engineering, model training, model evaluation, model testing, model deployment, model monitoring, and maintenance
• Build pipelines for training, evaluating, and deploying models
• Perform exploratory data analysis, statistical modeling, causal inference, and other advanced analytical techniques to uncover meaningful insights
• Advise stakeholders on experimentation best practices and help design and implement A/B/n testing as needed
• Stay current with trends and developments in the AI, machine learning, and healthcare technology communities

Requirements:

• Bachelor's or Master's Degree with 1 or more years of experience in a machine learning-related role, or PhD
• At least 1 year of experience with Python
• Some experience with relational databases and SQL
• Understanding of software engineering best practices and software development lifecycle
• Familiarity with Git and issue tracking tools such as JIRA
• Familiarity with Linux and CLI
• Experience in healthcare industry and working with healthcare data
• Experience with cloud infrastructure (Azure, AWS, or GCP)
• Experience with Docker
• Experience with Natural Language Processing
• Experience with effectiveness research