About the job
We are seeking a highly skilled and innovative AI/ML Engineer with deep expertise in Generative AI technologies to develop and deploy cutting-edge solutions within the Pharmacy domain. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and frameworks such as LangGraph and LangChain. Solid proficiency in Python and experience with deep learning frameworks like TensorFlow, PyTorch, or Keras are essential.
Responsibilities
Design, develop, and deploy AI/ML models using GenAI technologies (LLMs, RAG, Agentic AI)
Utilize frameworks such as LangGraph, LangChain, TensorFlow, PyTorch, or Keras for model development
Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure
Conduct rigorous model testing, validation, and performance optimization
Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions
Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets
Stay current with emerging trends and advancements in generative AI and ML technologies
Ensure code quality and security by identifying and resolving vulnerabilities
Maintain solid programming practices with a focus on Python
Work Eastern Time Zone hours to support collaboration across a global team
Participate in on-call rotations as scheduled
Qualifications
Minimum
Bachelor's degree or equivalent experience in Computer Science, Data Science, or related field
5+ years of industry experience in AI/ML or Data Science
3+ years of hands-on experience with Python and version control tools like GitHub
3+ years of experience deploying AI/ML solutions in production environments
Experience with Git management and CI/CD best practices
Experience in designing high-level cloud architecture and solution designs for AI/ML solutions
Experience with AI/ML projects deployed in Production
Preferred
Certifications in AI/ML or related technologies
Familiarity with cloud platforms (Azure, AWS, Google Cloud)
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
Proven knowledge of UAIS and MLRB