Job Url: https://www.remoterocketship.com/company/omnidian/jobs/staff-data-scientist-ai-llm-technical-lead-united-states Job Description: Omnidian Website LinkedIn All Job Openings Omnidian is a leader in providing comprehensive solar solutions for commercial and residential developers, owners, and investors nationwide. The company offers proactive monitoring and intelligent diagnostics, as well as guarantees for system performance with a robust service network. They specialize in investment protection and expert support, ensuring maximized system uptime and return on investment (ROI) for their clients. Omnidian serves over 200 of the nation’s leading commercial solar owners and operators, offering their award-winning proprietary technology to streamline solar needs. Residential Solar • Operations and Maintenance • Asset Management • Asset Performance Management • Commercial Solar 51 - 200 employees Founded 2015 ⚡ Energy Staff Data Scientist - AI & LLM Technical Lead 18 hours ago 🇺🇸 United States – Remote 💵 $147.3k - $242.3k / year ⏰ Full Time 🟠 Senior 📊 Data Scientist Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • Omnidian, Inc. is a fast-growing Series C tech-enabled service company revolutionizing performance assurance for the distributed solar and energy storage industries. • As our AI & LLM Technical Lead, you will drive Omnidian’s capabilities in Artificial Intelligence (AI) and Large Language Models (LLMs). • Your role will involve leading efforts to identify, prioritize, scope, develop, and deploy AI solutions that significantly enhance operational efficiency, productivity, and market differentiation. • You will collaborate closely with ML Ops Engineers, Data Engineers, and cross-functional teams to integrate production-grade AI solutions into our workflows, including asset onboarding, performance monitoring, remediation coordination, and client reporting. • This role requires both deep technical expertise in Data Science and LLMs and a pragmatic approach to AI innovation aligned with clear business outcomes. 🎯 Requirements • Minimum of 5 years of experience in productionizing machine learning models, including end-to-end deployment and maintenance in production environments. • Recent hands-on experience in fine-tuning and deploying Large Language Models (LLMs) within a business context. • Solid foundation in Data Science and deep learning techniques, with direct experience in developing and operationalizing AI/LLM solutions. • Strong software engineering skills, particularly in Python, and proven capability in building robust, production-level data pipelines and AI integrations. • Master's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or another quantitative discipline. • Proven ability to collaborate closely with ML Ops Engineers and Data Engineering teams, preferably with experience using cloud platforms (e.g., AWS, Databricks, Docker, Kubernetes). • Demonstrated effectiveness in fast-paced, growth-stage environments with dynamic priorities and evolving structures. 🏖️ Benefits • Comprehensive Benefits: We've got you covered with 100% of health insurance monthly premiums for employees, and 50% for dependents. • Performance Bonus: Because exceptional work deserves exceptional rewards. Eligibility begins after 90 days. • Equity Stake: Join us in shaping the future and be rewarded for your dedication with stock options. • Continuous Growth: Up to $500 annual learning reimbursement because investing in your development is investing in our success. • Committed to Parity: We place candidates within the band based on professional experience, not negotiating skills, as part of our overall effort to avoid gender pay discrepancy.