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Senior Machine Learning Engineer II

1 month ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
AWS Azure Generative AI HIPAA LLM Machine Learning Microservices NLP Python PyTorch
Apply Now
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
View All Jobs 10

Description

  • Design, develop, and productionize machine learning solutions for document understanding, search and Q&A, GenAI, and virtual agents.
  • Develop and maintain backend services in Python for AI-driven applications.
  • Design APIs that integrate AI models and services into products.
  • Collaborate with product managers, engineers, and stakeholders as a machine learning subject matter expert.
  • Own the full ML lifecycle, including problem definition, data exploration, feature engineering, training, validation, and deployment.
  • Participate in code reviews, testing, and quality assurance.
  • Troubleshoot and resolve issues across AI models, integrations, deployments, and backend services.
  • Implement telemetry, A/B testing, and automated validation to measure and improve model effectiveness.
  • Document development processes, system designs, and architectural decisions.
  • Ensure healthcare data security and HIPAA compliance.

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 knowledge of OOP, design patterns, efficient algorithms, and software development best practices.
  • Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
  • Experience with statistical machine learning and AI for NLP, speech, RAG, virtual agents, and/or document processing.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Experience 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.
  • Strong problem-solving skills, attention to detail, and logical thinking.
  • Ability to collaborate across disciplines in a fast-paced startup environment.
  • Good written communication skills for remote collaboration.

Benefits

  • Salary range of $180,400-$225,500 in New York, $165,600-$207,000 in Denver, or $150,400-$188,000 in Charlotte.
  • Opportunity to work on mission-driven AI/ML/GenAI products in healthcare.
  • Equal employment opportunity and anti-discrimination protections.
  • Privacy practices and personal data retention disclosure provided at application.

Interested in this position?

Apply directly on the company website

Apply Now

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