Machine Learning Engineer

Somatus, Inc.•McLean, VA

34d

About The Position

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!

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

Nice To Haves

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

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.