Judi Health

Tech / AI / Software

SeniorMachineLearningEngineerII

$143–225k New York, New York, United States; denver, colorado, united states; United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Machine Learning Engineer II at Judi Health. Skills: AI/ML/GenAI, Machine Learning, Python, LLM, GenAI services. Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.. Develop and maintain backend services using Python, focusing on AI-driven applications.”

What You'll Achieve.

enabling increased productivity and magical experiences in our products and services; develop scalable solutions; build amazing capabilities for our customers, partners, and employees; make lasting impact towards transforming healthcare

Industry & Context.

Tech / AI / Software
Problems you'll solve

Excellent problem-solving skills; capacity for logical thinking

Eligibility Requirements

Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance.

What They're Looking For.

Must Have

Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field, Minimum 6+ years of experience in industry with a focus on ML solutions development and production deployment, grasp of OOP, Design Patterns, efficient algorithms, and quality software development, proficiency in Python and familiarity with ML libraries such as PyTorch, Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies, Familiarity with cloud platforms such as AWS or Azure, Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc, Experience developing and fine-tuning prompts on any of the GenAI services, Excellent problem-solving skills, attention to detail, and a capacity for logical thinking, Passion for customer, innovation, product quality, service excellence, and test engineering, The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment, Experience working with microservices/an API-based application paradigm, Good written communication skills that enable collaboration in a remote environment

Nice to Have

Kubernetes a plus

What You'll Do.

and productionize machine learning (ML) solutions in the fields of Document understanding

Develop and maintain backend services using Python

focusing on AI-driven applications.

Design and implement APIs for seamless integration with AI models and services.

Work across the complete lifecycle of ML model development

including problem definition

Troubleshoot and resolve technical issues related to AI model

deployment and backend services.

Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.

Ensure the security and compliance of healthcare data

adhering to HIPAA regulations.

How You'll Work.

Team & Collaboration

Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning.; Participate in code reviews, testing, and quality assurance processes.; The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.; Good written communication skills that enable collaboration in a remote environment.

Communication Scope

Good written communication skills that enable collaboration in a remote environment.; Document and communicate development processes, system designs, and architectural decisions.

Full Job Description

About Judi Health Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers, Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we’re rebuilding trust in healthcare in the U. S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health. Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: Design, develop, and productionize machine learning (M

Free ATS check

Applying for this Senior Machine Learning Engineer II role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Greenhouse

  • Create a Greenhouse profile before applying — it saves time across multiple applications.
  • Upload your resume as a PDF; the parser handles it better than Word.
  • Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
  • Enable email notifications to track application status in real time.

ANONYMOUS · UNFILTERED

What do employees actually say about Judi Health?

Real rants from real employees. Read before you apply.

Read Company Rants →