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