Senior AI Engineer

Summary

Join SB Energy, a leading clean energy company, as a Senior AI Engineer, Energy. You will develop and deploy AI agents to optimize the performance of renewable energy assets. Collaborate with cross-functional teams to improve forecasting, anomaly detection, and energy optimization models. Utilize advanced NLP techniques and machine learning frameworks to design and fine-tune LLMs. Evaluate AI agent performance and iteratively improve capabilities. This role requires strong machine learning expertise and experience in the energy market.

Requirements

• Bachelor’s degree in computer science, data science, mathematics, or a related field
• Experience with Python and basic libraries for machine learning such as scikit-learn and pandas
• Experience with LLM, machine learning, and deep learning frameworks such as Open AI API, XGBoost, PyTorch, or Keras
• Experience with cloud-based ML AI services
• Experience using frameworks to automate, accelerate, and sustain the machine learning lifecycle
• Experienced in general machine learning modeling including multivariate time series forecasting, stochastic modeling and optimization, and Monte Carlo simulations
• 5-8 years of ML engineering experience with preferably 2-3 years in the energy Market

Responsibilities

• Design and fine-tune LLMs using advanced NLP techniques to develop AI agents, ensuring the agent can understand complex user queries with high accuracy
• User queries can include pulling data from various databases, policies, and processes
• The agents will be used for a wide variety of tasks, including legal document reviews, supply chain document reviews, engineering document reviews, code reviews, forecast model performance analysis, asset trading performance analysis, data pipeline failure root-cause analysis, and answering data-related questions from the user using natural language
• The agents should be able to provide real-time updates on the status of various assets, generate and analyze operational performance reports, and use MS Teams for automated communications and troubleshooting assistance
• Collaborate with cross-functional teams to improve their models (forecasting, anomaly detection, energy optimization, classification) by using advanced reasoning models and improve pipeline efficiency through simplification
• Deploy models to production for use in SB Energy’s software/digital platform and its users using data science and ML engineering best
• Apply machine learning principles to train and fine-tune the AI agent, ensuring it learns new API syntaxes and adapts to evolving data analysis and retrieval requirements
• Evaluate the AI agent's performance using benchmarking metrics and utilize these insights to iteratively improve the digital platform AI agents’ understanding and response generation capabilities

Benefits

• 100% Company-Paid Medical, Dental & Vision (for employees and dependents)
• 401(k) with Company Match
• Generous Paid Time Off + 11 Paid Holidays
• 12 Weeks Paid Parental Leave
• Life, AD&D & Long-Term Disability Coverage
• Flexible Spending Accounts (FSA) for Medical, Dependent Care, Transit & Parking (with company contributions)
• Mental, Physical & Social Wellness Support (with company contributions)
• Flexible Work Arrangements & Hybrid Office Setup Benefits
• Monthly Reimbursement for Phone, Internet & Data
• Optional Legal & Pet Insurance Plans
• Device Purchase Support