Capital Rx

Capital Rx

Capital Rx provides comprehensive health benefit management and transparent pharmacy benefit management solutions, integrating various healthcare services to support millions of plan members across diverse sectors.

Health Care Providers & Services
251-1K
Founded 2017

Description

  • Design, develop, and productionize machine learning solutions for document understanding, search and Q&A, GenAI, and virtual agents.
  • Develop and maintain Python backend services for AI-driven applications.
  • Design and implement APIs for integration with AI models and services.
  • Collaborate with product managers, engineers, and other stakeholders as a machine learning specialist and subject matter expert.
  • Own the full ML lifecycle, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
  • Participate in code reviews, testing, and quality assurance processes.
  • Troubleshoot and resolve issues related to AI models, integrations, deployments, and backend services.
  • Implement system telemetry, A/B testing, and statistical validation methods to assess model effectiveness.
  • Develop automated testing and validation processes to ensure ML solution integrity and robustness.
  • Document development processes, system designs, and architectural decisions.
  • Ensure healthcare data security and HIPAA compliance.
  • Adhere to the Capital Rx Code of Conduct and report noncompliance as required.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 6+ years of industry experience with a strong focus on ML solution development and production deployment.
  • Strong grasp of OOP, design patterns, efficient algorithms, and quality software development.
  • Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
  • Experience with statistical machine learning and AI in NLP, speech, RAG, virtual agents, or document processing.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, or Google Gemma.
  • Experience developing and fine-tuning prompts for GenAI services.
  • Experience working with microservices or API-based application architectures.
  • Excellent problem-solving skills, attention to detail, and strong logical thinking.
  • Ability to work collaboratively across multiple disciplines in a fast-paced startup environment.
  • Good written communication skills for remote collaboration.

Benefits

  • Salary range of $180,000 to $220,000 USD.
  • Opportunity to work on mission-driven AI/ML products in healthcare.
  • Flexible role in a high-growth startup environment.
  • Equal employment opportunity and a workplace committed to diversity and inclusion.
  • Privacy practices and data retention disclosures provided to applicants.

Interested in this position?

Apply directly on the company website

Apply Now

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