remote
AI & Automation Engineer - Stored Energy Systems
QA Engineer
Design and deploy AI-driven and process automation solutions, leveraging Python, machine learning, RPA, data pipelines, and cloud services to improve operational efficiency across the organization.
About the role
Key Responsibilities
- Identify and prioritize AI and automation opportunities across business units.
- Design, develop, and deploy machine‑learning models and RPA workflows using Python and industry‑standard frameworks.
- Build and maintain data pipelines and feature stores to support model training and inference.
- Integrate solutions with cloud platforms (e.g., AWS, Azure) and on‑premise systems, ensuring scalability and reliability.
- Provide ongoing support, monitoring, and continuous improvement of deployed AI and automation assets.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field with 3+ years of hands‑on experience in AI/ML and automation.
- Proficiency in Python and common ML libraries (TensorFlow, PyTorch, scikit‑learn).
- Experience with Robotic Process Automation tools (UiPath, Automation Anywhere, Blue Prism) or custom script‑based automation.
- Strong understanding of data engineering concepts, including ETL, data warehousing, and cloud services (AWS, Azure, GCP).
- Excellent problem‑solving skills and ability to translate business requirements into technical solutions.
Skills
pythonmachine learning