Jobs · Engineering · Colorado

Manager - AI Engineer

TalentBridge · Englewood, CO · 3 wk ago
On-siteEngineeringContract

About the role

Long-term contract position located in Greenwood Village, CO.

Responsibilities

  • Lead, mentor, and scale high-performing AI/ML teams
  • Define and drive AI/ML strategy and vision
  • Deliver AI/ML models into production environments
  • Collaborate effectively across technical and business teams
  • Hands-on work with Large Language Models (LLMs), including fine-tuning, Retrieval-Augmented Generation (RAG), prompt engineering, and agentic frameworks

Requirements

  • 8+ years of experience in machine learning, data science, or AI development
  • 8+ years of people management experience
  • 4+ years of hands-on experience with Large Language Models (LLMs)
  • Demonstrated success delivering AI/ML models into production (industry experience required; research-only backgrounds not preferred)
  • Bachelor’s degree required; Master’s or PhD preferred in Computer Science, Data Science, AI, or similar
  • 8+ years of professional experience in data, analytics, AI/ML, or software development
  • At least 2 years of focused, hands-on experience in AI-specific roles

Skills

  • Strong technical leadership and communication skills
  • Experience with call center environments or customer experience analytics (preferred)
  • Telecommunications or cable industry experience (preferred)
  • Familiarity with Agile methodologies
  • Front-end or interface experience (e.g., React)
  • Experience with sentiment analysis and text analytics
  • Knowledge of AI-driven automation tools and frameworks
  • Experience with AI model interpretability and explainability (XAI)
  • Understanding of data privacy and regulatory considerations related to AI
  • Graph Analytics: Leveraging graph-based models to analyze relationships and complex data networks
  • Advanced Natural Language Processing (NLP): Building solutions for chatbots, sentiment analysis, and language translation
  • Explainable AI (XAI): Creating transparent and interpretable AI systems
  • Automated Machine Learning (AutoML): Streamlining model development through automation

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