Sr . AI Engineer

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.