Hiring: AI/ML Engineer - Consultant - Denver Company: Slalom Location: Denver, CO Job Posted Time: 2026-09-16 00:59:59 Employment Type: Full-time Target Skills & Keywords: AI, Machine Learning, Generative AI, LLMs, RAG, Agents, Prompt Engineering, Fine-Tuning, MLOps, LLMOps, Python, AWS, GCP, Azure, Databricks, Snowflake, Computer Vision, NLP, Recommendation Systems, Data Science, Data Engineering Experience: - 3-6 years of experience implementing models or machine learning algorithms into production - 1-3 years of professional Managed or IT Professional consulting experience Required Skills: - Design, build, and deploy generative AI and machine learning solutions - Develop LLM-powered applications using RAG, agents, prompt engineering, tool and function calling, workflow automation, and fine-tuning - Apply Machine Learning, Deep Learning, and other relevant technologies to build AI tools - Assist in design, development, presentation, and delivery of traditional ML solutions (Computer Vision, NLP, Recommendation Systems, etc.) - Strong consultative and communication skills - Technical and conversational fluency in AI, GenAI, Machine Learning and at least one major cloud (AWS, GCP, Azure) - Hands-on experience building generative AI solutions using LLMs, embeddings, vector search, RAG, agents, prompt engineering, fine-tuning, or model adaptation - Experience with AI validation, evaluation, observability, and production quality metrics (accuracy, groundedness, safety, latency, cost, drift) - Experience deploying ML/AI into production - Understanding of validation frameworks for AI and ML tools - Excellent Python, especially for ML/AI use cases Qualifications: - Data Science and/or Data Engineering background preferred - Nice to have: Experience in a sales support role within Data Science, Machine Learning, or AI - Nice to have: Familiarity with leading data platforms like Databricks and Snowflake - Nice to have: Experience implementing MLOps best practices and ML workflow tools, with ability to translate to LLMOps solutions - Must live within commutable distance of Denver Office; willing to be onsite up to 3 days a week - Not eligible for 100% remote work Compensation: Not specified Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!