Data science libraries (numpy, pandas, matplotlib)
Lead the technical execution of AI projects, including architecture decisions, roadmap alignment, and delivery oversight
Job Summary
Lead the technical execution of AI projects, including architecture decisions, roadmap alignment, and delivery oversight.
Deliver scalable AI/ML solutions using emerging technologies and best practices in MLOps and LLMOps.
We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Matching Summary
Lead the technical execution of AI projects, including architecture decisions, roadmap alignment, and delivery oversight.
Skills & Requirements
Must-have
Python experience
Machine learning experience
Data science libraries (NumPy, Pandas, Matplotlib)
Scikit-learn framework
Tensorflow or Pytorch
Document analysis, computer vision, NLP
AI Agent building
MLOps tools
Nice-to-have
Cloud platform experience (Azure preferred)
Exposure to .Net and C#
Encourage learning and adoption of technologies
Thought leader in AI
Hybrid work model
Flexibility and work-life balance
Key Requirements
Minimum three years of Python experience
Minimum two years of machine learning experience
Work experience with data science libraries
Work experience on Scikit-learn framework
Work experience on Tensorflow or Pytorch
Work experience with document analysis, computer vision and NLP problems