Data Scientist/AI/ML Lead

Role: Data Scientist/AI/ML Lead Remote Job Description: We are seeking a highly skilled and motivated AI/ML Engineer to join our HLS team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with recent experience in LangGraph, Pydantic, and Agentic AI. You will be responsible for designing, developing, and deploying AI/ML models and systems that drive our healthcare solutions. Key Responsibilities: • Design, develop, and implement AI/ML models and algorithms tailored for healthcare applications. • Collaborate with healthcare professionals and cross-functional teams to integrate AI/ML solutions into clinical workflows and healthcare systems. • Utilize LangGraph for efficient data processing and model training, focusing on healthcare data. • Employ Pydantic for data validation and settings management, ensuring compliance with healthcare regulations. • Leverage Agentic AI to create intelligent agents that enhance patient care and healthcare provider experiences. • Conduct research and stay up-to-date with the latest advancements in AI/ML technologies and their applications in healthcare. • Optimize and maintain AI/ML models for performance, scalability, and regulatory compliance. • Participate in code reviews and ensure best practices in software development. Qualifications: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Proven experience as an AI/ML Engineer or similar role, preferably in the healthcare domain. • Strong proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch). • Hands-on experience with LangGraph, Pydantic, and Agentic AI. • Solid understanding of machine learning algorithms, data structures, and healthcare data standards. • Excellent problem-solving skills and attention to detail. • Ability to work collaboratively in a team environment. • Strong communication skills, both written and verbal. Preferred Qualifications: • Experience with healthcare data (e.g., EHR, medical imaging) and healthcare regulations (e.g., HIPAA). • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). • Familiarity with DevOps practices and tools. • Knowledge of natural language processing (NLP) techniques and their applications in healthcare.

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