Principal Machine Learning Engineer, ZoomInfo

• 5+ years of experience in machine learning engineering or AI infrastructure
• Strong background in deploying open-source LLMs in production environments
• Hands-on experience with model fine-tuning and embedding models
• Expertise in RAG (Retrieval Augmented Generation) and vector databases
• Knowledge of LLM evaluation methods and governance
• Experience with tools like Hugging Face and modern ML frameworks
• Background in Computer Science, Electrical Engineering, or related field (Masters/PhD preferred)

Desirable

• We're building the next generation of AI-powered B2B solutions at scale. Our team is at the forefront of deploying large language models (LLMs) and knowledge graphs to transform how businesses access and use information. We work closely with product, engineering, and ML teams to bring cutting-edge AI capabilities to production
• Design and build a scalable LLMOps platform to support multiple production AI applications
• Create and implement evaluation frameworks and guardrails for LLM deployments
• Fine-tune embedding models and pre-train LLMs for specific business use cases
• Develop proof-of-concepts for new AI technologies and compare them with existing approaches
• Build and optimize knowledge graphs for search and recommendation systems
• Work with ML teams to enable new AI capabilities across our product suite
• Share knowledge and mentor team members on best practices in AI engineering