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.
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