The role involves supporting the deployment and scaling of AI/ML models, digital agents, and automation solutions across R&D
Job Summary
The role involves supporting the deployment and scaling of AI/ML models, digital agents, and automation solutions across R&D.
Candidates will partner with R&D teams to identify use cases aligned to business needs while contributing to MLOps processes and system validation workflows.
This hybrid position requires being onsite three days a week in either King of Prussia, PA or Waltham, MA.
Matching Summary
The role involves supporting the deployment and scaling of AI/ML models, digital agents, and automation solutions across R&D.
Skills & Requirements
Must-have
10+ years AI/ML experience
Machine learning pipeline building
Python or R scripting proficiency
MLOps tools familiarity
R&D or life sciences background
Nice-to-have
Low-code automation platforms
Intelligent agent development
Stakeholder coordination skills
Internal capability building
Hackathon organization experience
Key Requirements
Bachelor's or Master's degree in Data Science or Computer Science
10+ years of experience in AI/ML or analytics
Practical experience with machine learning pipelines