Note: The job is a remote job and is open to candidates in USA. Dice is a global organization that delivers care, aided by technology to help millions of people live healthier lives. They are seeking a highly skilled and innovative AI/ML Engineer to develop and deploy cutting-edge solutions within the Pharmacy domain, collaborating closely with Pharmacy Operations and Capability teams to leverage emerging AI technologies for improving health outcomes.

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
• Not a research focused role, but more of an AI/ML product development role in a software engineering team

Skills

• BS in Computer Science, Engineering, or related technical field (or equivalent experience)
• 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
• Should have experience of AI/ML projects deployed in Production
• Must be authorized to work in the United States without the need for current or future employer-sponsored visa sponsorship (e.g., H-1B, TN, F-1/OPT, CPT, or other employment-based visa status)
• Certifications in AI/ML or related technologies
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
• Knowledge of UAIS and MLRB
• Familiarity with cloud platforms (Azure, AWS, Google Cloud)

Benefits

• A comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution (all benefits are subject to eligibility requirements)

Company Overview