Senior Machine Learning Engineer

Job Description

Job Description

ChasmTeam

Senior Machine Learning Engineer at JudiHealth

Location : Remote (For Non-Local) or Hybrid (Local to NYC area)

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 (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.
• Participate in code reviews, testing, and quality assurance processes.
• 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. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
• Document and communicate development processes, system designs, and architectural decisions.
• 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.

Required Qualifications :

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

Salary Range

$150,000 - $180,000 USD