Senior AI/ML Engineer Remote in Eastern Time Zone

About the role

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.

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

Requirements

• 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

Qualifications

• Required Qualification: 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).
• Preferred Qualifications: 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).

Skills

• Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI
• Experience with frameworks such as LangGraph, LangChain, TensorFlow, PyTorch, or Keras for model development
• 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

Benefits

• A comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution

Pay

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives.

Schedule

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Location

This role is remote in Eastern Time Zone.