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Capital Rx Logo

Senior Machine Learning Engineer II

Capital Rx

$180,000 - $240,000
Jun 12, 2025
Remote, US
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The company is looking to infuse cutting-edge AI/ML/GenAI into pharmacy benefits and needs a Senior Machine Learning Engineer to design and implement complex AI systems.

Requirements

  • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
  • Strong 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
  • Experience working with microservices/an API-based application paradigm.

Responsibilities

  • 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.
  • Design and implement APIs for seamless integration with AI models and services.
  • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
  • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
  • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models.
  • Document and communicate development processes, system designs, and architectural decisions.

Other

  • 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 strong focus on ML solutions development and production deployment.
  • Excellent problem-solving skills, attention to detail, and a strong 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.
  • Good written communication skills that enable collaboration in a remote environment.