This is a remote position.
They are committed to creating more renewable infrastructure solutions for the grid and are offeringcomprehensive compensation packagesto their employees leading the drive to meet company goals.Other perks included a competitive base salary, open PTO policy, flex work hours, benefits, the opportunity to work with a transparent Executive Leadership Team..and more.
RESPONSIBILITIES:
- Renewables Software EngineeringLeader (Manager - Sr. Manager) - Develops and implements software development growth strategy driven by machine learning optimization and predictive models for energy trading wholesale electricity markets with a key focus on energy storage initiatives
- Renewables Software EngineeringLeader (Manager - Sr. Manager)- Takes ownership of software engineering operations programs to monitor performance and streamline processes including real-time troubleshooting
- Renewables Software EngineeringLeader (Manager - Sr. Manager)-Create short-term and long-term roadmaps based on organizational goals as well as team based assessments
- Renewables Software EngineeringLeader (Manager - Sr. Manager)-Develops and implements a framework of testings machine learning models and taking them into production
- Renewables Software EngineeringLeader (Manager - Sr. Manager) -Utilize forward thinking techniques such as optimal control, deep learning, machine learning (AI/ML), and reinforcement learning to evaluate and update current protocols
- 8-10+ yrs of software development engineering, programming, or coding experience; at least 2 years in Team Leadership roles with direct reports
- Software engineering machine learning development experience in production ready coding environments focused on complex projects
- Solid exposure to cybersecurity best practices for software development and distributed architecture systems
- Expert in machine learning model deployment and machine learning operations MLOps; Well versed in agile based software development methodology
- Expertise in the Amazon Web Services (AWS) Sagemaker Machine Learning platform or similar cloud based solutions
- Understanding convex optimization techniques (Linear/Mixed Integer programming) and time-series forecasting (PostgreSQL, TimescaleDB, InfluxDB)
- Understanding Python-based optimization toolkits such as Pyomo, CVXPY GurobiPy, etc.
- Understanding of machine learning concepts such as classification, deep learning, deep neural networks (DNN), reinforcement learning, and regression problem solving techniques
- HUGE PLUS - experience working in production ready coding environments in the energy trading or financial trading sector
- HUGE PLUS - solid understanding of national energy markets and renewable energy portfolios - PJM, ERCOT, SPP, MISO, NYISO, ISO-NE, and CAISO; capacity prices, regional energy pricing, congestion and curtailment analysis, transmission constraints, interconnection assessments, LMPs (locational marginal pricing), and/or regional supply and demand curves)
- Ideal candidates for this role will have experience working in Senior, Lead, Principal, Manager, and Director level roles as Software Engineering Manager, Principal Software Architect, ML/AI Engineering Leader, AI Software Engineering Leader, ML Software Development Leader, ML/AI Engineering Manager...etc
