Remote Associate ML Engineer – GenAI & Production

Brooksource; United States; Remote; USD 48,000 - 62,000; Full time

Benefits offered by this job

401(k) matching

6 paid holidays

Elevate program access

Job summary

Brooksource is seeking an Associate Machine Learning Engineer for a remote role. You will design, build, and deploy ML models to support healthcare workflows, with GenAI, data science model development, and cloud-native engineering at the core.

Join Brooksource's Elevate Program to access professional development, training, and certifications while contributing to high-impact initiatives and scalable solutions that improve patient outcomes and operational efficiency.

Qualifications

• Graduate degree in CS/ML/DS or related field.
• 0-2 years of relevant experience.
• Strong Python programming skills.
• Experience with Databricks, API development, and CI/CD tools.
• Background in GenAI concepts.
• Internship or hands-on production ML deployment experience is a plus.

Responsibilities

• Design, build, and deploy ML models for healthcare workflows.
• Develop and maintain APIs with FastAPI for low latency, high resiliency, and scalability.
• Contribute to GenAI initiatives, including agentic frameworks and RAG systems.
• Collaborate across teams to support capacity needs and ensure delivery of high-priority projects.
• Work within Databricks environments to operationalize data workflows and model pipelines.
• Integrate solutions into CI/CD pipelines and maintain version control using Git.

Skills

Python

API development

CI/CD

GenAI concepts

Databricks

Education

Graduate degree in Computer Science / ML / DS

Tools

FastAPI

Git

CI/CD tools

Job description

Brooksource is seeking an Associate Machine Learning Engineer for a remote role. You will design, build, and deploy ML models to support healthcare workflows, with GenAI, data science model development, and cloud-native engineering at the core.

Join Brooksource's Elevate Program to access professional development, training, and certifications while contributing to high-impact initiatives and scalable solutions that improve patient outcomes and operational efficiency.