AI Industry 5.0 Engineer

Bloom EnergyNewark, DE
8dOnsite

About The Position

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream—we’re making it reality. For over two decades, we’ve been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what’s possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled “time-to-power” capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm. At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century. We are looking for an AI Industry 5.0 Engineer to join our team in one of today’s most exciting technologies. This role will report to Director of Manufacturing and is based in Newark, DE.

Requirements

  • Bachelor’s degree in computer science or equivalent with at least 2 - 7 years of experience.
  • Expertise in TensorFlow, PyTorch, Scikit-learn, or Keras
  • Experience with modern programming languages like Java, Python, etc
  • High degree of competency in building APIs and services using REST, SOAP, etc.
  • Knowledge of API development, Docker, Kubernetes, and CI/CD tools.
  • Deep under SQL and experience with systems like MySQL, Oracle, MongoDB, etc..

Nice To Haves

  • Experience with Microsoft Technology Stack and AWS cloud services is highly desirable
  • Expertise using analytics platforms such as AWS QuickSight or Tableau preferred

Responsibilities

  • Working with data scientists, manufacturing engineers, and business leaders to define AI strategies and deploy complete solutions.
  • Designs, builds, and deploys machine learning models and artificial intelligence systems to automate complex business processes and enhance business efficiency.
  • Creating and maintaining the infrastructure for AI development and production, including data ingestion and transformation pipelines.
  • Transforming ML models into APIs, tools, and scalable applications for factory environments.
  • Protect proprietary information and ensure all security protocols are implemented
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