Location: Offshore, Nearshore (Canada, Mexico)
Experience: 7+ yrs
Employment Type: Contract
SkillsAI/ML Engineering
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.