Machine Learning Engineer

About the role

As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and technology teams to help clinical, operational, and financial partners solve advanced analytical problems. Our culture is data-driven, collaborative, results-focused, and fast-moving. If you have a passion for building things and using data to impact the lives of patients, families, and communities, then we want to speak with you!

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

Skills

• 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

Benefits

• Subsidized personal healthcare coverage: Medical, Dental & Vision, plus Wellness programs
• Paid Time Off: Flexible PTO
• Professional development: CEU and