Associate Machine Learning Engineer

Premise Health is Different on Purpose
Premise Health serves large organizations and their people with exceptional healthcare. The result? Better experiences, better health, and better value, all while helping organizations lower their healthcare costs.
Premise's mission is to help people get, stay, and be well. Come join us and see for yourself why amazing health starts with amazing healthcare. For more information, visit www.jobs.premisehealth.com.
The Associate Machine Learning Engineer serves as the engineering and deployment backbone for the team's ML and applied AI initiatives. This role takes models and AI solutions from development to production — deploying predictive models, building ML pipelines, supporting applied AI systems such as RAG pipelines and agentic workflows, and ensuring reliable infrastructure in Databricks and cloud environments.
This is a full time, remote Associate Machine Learning Engineer role.
What You'll Do
MLOps & Applied AI Engineering

Deploy and manage predictive models and ML pipelines in Databricks using MLflow
Build and maintain CI/CD pipelines for model training, validation, and deployment
Configure and manage model serving endpoints for production inference
Monitor model performance, data drift, and system health in production
Build and support RAG pipelines including vector search, document processing, and retrieval infrastructure
Develop and maintain agentic AI workflows and multi-step automation systems
Integrate LLM APIs and model serving endpoints into production applications
Collaboration & Communication

Work with data scientists to translate model requirements into deployment plans
Collaborate with IT and platform teams on infrastructure, security, and access
Document deployment processes, architecture decisions, and operational runbooks
Technical Execution

Write clean, production-grade Python following software engineering best practices
Work with SQL and PySpark for data processing and transformation at scale
Build and maintain data pipelines that feed ML models and AI systems
Troubleshoot and resolve issues in production ML and AI systems
What You'll Bring

Bachelor’s or Master’s degree in Data Science, Applied AI, Computer Science, Software Engineering, or related STEM field; or completion of an accredited data science, applied AI or ML engineering program
0–2 years in data science, ML engineering, MLOps, or applied AI engineering
Coursework or projects involving model deployment, ML pipelines, or production ML systems
Coursework or projects involving generative AI, LLMs, or agentic AI systems
Experience with Python and SQL
Understanding of ML algorithms, neural networks, and deep learning concepts
Familiarity with MLOps concepts: model serving, experiment tracking, CI/CD for ML
Exposure to RAG architectures, vector databases, and LLM integration patterns
Exposure to agentic AI concepts and frameworks (e.g., LangChain, LangGraph, etc.)
Familiarity with Git and collaborative development workflows
Strong problem-solving skills and engineering mindset
Healthcare data experience preferred
Experience with the following is a plus:
Cloud: Azure, Databricks
MLOps: MLflow, Databricks Model Serving, CI/CD pipelines
Applied AI: LangChain/LangGraph, vector databases, Streamlit
Version Control: GitLab
IDE: VS Cod
Work-life balance is at the foundation of how decisions are made and where Premise is headed. We can only help people get, stay, and be well if we do the same for ourselves. In addition to competitive pay, Premise offers full-time team members benefits including medical, dental, vision, life and disability insurance, a 401(k) program with company match, paid holidays and vacation time, a company-sponsored wellness program, EAP, access to virtual primary care and virtual behavioral health at no cost for team members and their dependents. Additional benefits can be viewed here: https://jobs.premisehealth.com/benefits.
Premise is an equal opportunity employer; we value inclusion and do not discriminate based on race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy and related conditions), gender identity or expression, sexual orientation, age, physical or mental disability, genetic information, past, current or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law.
Premise provides its reasonable and genuinely expected range of compensation for this job of $60,000.00 - $76,800.00 annually. A number of factors will influence the rate offered for this position, including your experience, qualifications, geographic location, and other factors.
For individuals living in Washington or Colorado: Premise offers the following paid time off benefits. Employees will earn 0.0692 hours of paid time off per actual hours worked or based on standard schedule, per pay period, and will receive 10 paid holidays or an equivalent bank of hours aligned to schedule throughout the calendar year. Paid sick leave is satisfied by the paid time off accrual, detailed above.
This posting is anticipated to close within 90 days of 03/27/2026.
Should you have questions regarding this job posting, please contact askhr@premisehealth.com.