Lead Software Engineer- Ml, Nlp, Gen Ai

Gartner

Not specified; not specified; world-class benefits...
Hybrid
6-8 years classic ai experience
1.5 years generative ai production experience
Python libraries pandas scikit-learn numpy scipy
The role involves delivering client engagements that use AI rapidly on the order of a few weeks while building proofs of concept to adapt to market needs

Job Summary

  • The role involves delivering client engagements that use AI rapidly on the order of a few weeks while building proofs of concept to adapt to market needs.
  • Gartner values a culture of nonstop innovation where great ideas can come from anyone on the team to support colleagues and clients with cutting-edge solutions.
  • The company offers world-class benefits, highly competitive compensation, and disproportionate rewards for top performers in a hybrid work environment.

Matching Summary

The role involves delivering client engagements that use AI rapidly on the order of a few weeks while building proofs of concept to adapt to market needs.

Salary

Not specified; Not specified; World-class benefits and competitive compensation

Skills & Requirements

Must-have

  • 6-8 years classic AI experience
  • 1.5 years generative AI production experience
  • Python libraries Pandas Scikit-Learn Numpy Scipy
  • RAG embedding models vector DBs
  • Agentic AI frameworks implementation
  • Cloud deployment Azure AWS
  • Knowledge search and summarization apps

Nice-to-have

  • Intellectual curiosity and passion for technology
  • Ability to present technical info clearly
  • Willingness to embrace new technologies rapidly
  • Excellent time management and prioritization
  • Collaborative agile scrum team setting

Key Requirements

  • 6-8 years experience in classic AI techniques
  • At least 1.5 years in generative AI at production level
  • Solid grasp of collaborative software development
  • Experience with agile scrum and Jira GitHub

Work Rights

Not specified

Tailored Resume

Cover Letter