Staff AI engineer
GE VernovaResponsibilities
- Design, develop, and implement AI, generative AI, machine learning, neural-network, and optimization solutions.
- Own the machine learning lifecycle, including dataset construction, metrics, acceptance criteria, evaluation, deployment, and monitoring.
- Translate business and operational needs into scalable AI-enabled tools, applications, workflows, and production systems.
- Define end-to-end solution architectures connecting data sources with enterprise and technical IT environments.
- Integrate AI and ML capabilities into hardware, software, and business-process ecosystems for industrial use.
- Assess data quality, availability, labeling, access rights, and confidentiality, and develop strategies to address data gaps.
- Develop data-driven solutions for predictive maintenance, anomaly detection, quality and performance prediction, forecasting, cost analysis, and document or knowledge support.
- Write technical specifications, statements of work, and acceptance criteria for contractors, vendors, and internal teams.
- Evaluate suppliers, platforms, and tools through technical assessments, benchmarks, and proof-of-concepts.
- Review partner designs, code, models, quality gates, and acceptance testing while retaining technical ownership.
- Collaborate with technical, operational, business, and IT stakeholders and support user training, onboarding, and adoption.
- Evaluate emerging technologies including edge AI, synthetic data, reinforcement learning, and large language models.
Requirements
- A master’s degree in engineering, computer science, data science, applied mathematics, or a related field.
- At least 8 years of overall professional experience.
- Several years, specified as 2 to 4, 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, with proficiency in development environments such as VS Code.
- Hands-on experience with TensorFlow and/or PyTorch and classical machine learning tooling such as scikit-learn and gradient boosting methods.
- Experience with time-series analysis, optimization methods, data-driven model development, GenAI, RAG, vector databases, and A2A.
- Experience handling structured, tabular, and unstructured data including technical documents, specifications, and reports.
- Solid grounding in cloud services and architecture, including Azure and AWS.
- Working knowledge of SQL, data pipelines, and data engineering fundamentals.
- Familiarity with MLOps, model deployment, and production integration is advantageous.
- Experience deploying AI/ML solutions in industrial, technical, or complex operational environments is preferred.
- Knowledge of industrial processes, electrification, power systems, AI regulation and governance, innovation management, or patent-related work is advantageous or a plus.
- Strong analytical, strategic, documentation, communication, collaboration, and stakeholder-management skills.
Benefits
- Relocation assistance is provided.
Categories
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.