Sr. Machine Learning Engineer

Sr. Machine Learning Engineer

We are building commercial-grade technology to operate kidney care services at scale. Our data platform connects numerous healthcare systems delivering our clinicians with a wealth of data and clinical insights. With our data we are continually finding opportunities to improve care and operations with ML-driven solutions. As a Sr. Machine Learning Engineer you will be central to the continued development of our ML strategy while owning and designing scalable MLOps solutions to enable that strategy.

Essential Functions

• Mentor across Technology to grow their understanding of ML practices and tooling.

• Oversee bringing new AI and ML models into production using various cutting-edge technologies.

• Ability to dig into the data and understand business logic when applying AI and/or ML to solve complex business problems.

• Design and deploy scalable MLOps tooling covering the data science lifecycle (training deployment monitoring inference).

• Contribute to developing cloud-based architecture across the platform

• Code and comprehend code around technologies that deal with acquiring processing enriching and delivering data

• Implement solutions using both vendor specific and custom-built tools

Minimum Qualifications

• 5+ years experience in healthcare/technology related field

• 5+ years experience in an applied machine learning or data science role

• 5+ years experience with agile development approaches (i.e. Scrum Kanban etc.)

• 1+ experience building deploying and maintaining production-level machine learning systems (plus if you have experience with AWS services like Sagemaker Bedrock etc.)

Preferred Qualifications

• Expertise in Python including libraries like NumPy Pandas Scikit-Learn PyTorch/TensorFlow

• Expertise in Structured Query Language (SQL)

• Expertise in communication skills to explain technical concepts to stakeholders

• Intermediate knowledge of DevOps processes and CI/CD pipelines for ML systems

Annual Salary Range: $109000.00-$163000.00