Staff AI Engineer
GE VernovaResponsibilities
- Design, develop, and implement generative AI, machine learning, neural network, optimization, and analytics solutions for industrial and business use cases.
- Own the machine learning lifecycle, including dataset construction, metric definition, acceptance criteria, evaluation strategies, deployment, and monitoring for drift, performance, and cost.
- Translate operational and business needs into scalable AI-enabled tools, applications, workflows, and production-ready architectures.
- Define end-to-end solution architectures spanning data sources, enterprise IT systems, cloud and on-premises environments, and hardware or software ecosystems.
- Assess data readiness and lead or support the collection, processing, structuring, and analysis of operational, business, structured, tabular, and unstructured data.
- Develop solutions for predictive maintenance, anomaly detection, quality and performance prediction, forecasting, cost analysis, document analysis, and knowledge support.
- Write technical specifications and statements of work, evaluate suppliers and platforms, and oversee internal and external partners through reviews and acceptance testing.
- Collaborate with technical, operational, business, and IT stakeholders; support training, onboarding, adoption, and benefits measurement.
- Evaluate emerging technologies including edge AI, synthetic data, reinforcement learning, and large language models for practical industrial applications.
Requirements
- Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, or a related field.
- 8+ years of overall experience, including several years of professional experience in artificial intelligence, machine learning, data science, software engineering, or a comparable technical role.
- Strong programming skills in Python, C++, or similar languages and proficiency with modern development environments such as VS Code.
- Hands-on experience with TensorFlow and/or PyTorch, classical machine learning tooling such as scikit-learn and gradient boosting methods, time-series analysis, optimization, and data-driven model development.
- Practical experience with generative AI stacks including RAG, vector databases, and A2A, as well as structured, tabular, and unstructured technical data.
- Solid knowledge of cloud services and architecture, including Azure and AWS, plus data engineering fundamentals such as SQL and data pipelines.
- Experience developing and deploying AI/ML solutions in industrial, technical, or complex operational environments is preferred.
- Familiarity with MLOps, model deployment, production integration, industrial processes, electrification, power systems, AI governance, innovation management, or patent-related work is advantageous.
- Strong analytical, strategic, documentation, collaboration, communication, and stakeholder-management abilities.
Benefits
- Relocation assistance is provided.
About GE Vernova
GE Vernova is a purpose-built energy technology company on a mission to electrify to thrive and decarbonize the world. It is made up of three businesses -- Power, Electrification, and Wind -- with focus on accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. The world needs more energy, smarter energy. With energy demand expected to grow by more than 50% in the next 20 years, we are continuously innovating to meet the moment…like we have for the past 130 years. The Energy of Change and relentless optimism are what drive us – it’s about never giving up and seeing what’s possible so that we deliver the energy technologies the world needs right now and for generations to come. GE Vernova’s attitude and edge is embedded in its name. We retain our treasured legacy, “GE,” as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. Together, we have the energy to change the world.