In this role, you will collaborate closely with domain experts and cross-functional teams to apply artificial intelligence, generative AI, and machine learning to real-world industrial challenges, helping accelerate innovation, productivity, and operational excellence.
A defining part of the role is technical judgment; choosing the right tool for each problem: classical machine learning, deep learning, GenAI, or pure software development when needed.Job Description
AI & ML Solution Development & Integration
- Design, develop, and implement AI solutions, including generative AI, machine learning models, neural networks, and optimization algorithms, to improve business process efficiency and effectiveness.
- Select the appropriate modelling approach for each problem and articulate the trade-offs behind that choice.
- Own the machine learning lifecycle: dataset construction, metrics definition, acceptance criteria in accordance with the stakeholders needs, evaluation strategies.
- Translate business and operational needs into scalable AI-enabled tools, applications, and workflows.
- Support the deployment and integration of AI/ML models into existing business and technical systems, software environments, and products where applicable, including monitoring for drift, performance degradation, and running cost.
Technical Implementation & Architecture
- Collaborate with domain experts to identify high-value use cases and define technical requirements for AI solutions.
- Define and document the solution architecture end to end: from data sources to the integration with the existing enterprise and technical IT landscape.
- Design cloud-ready and on-premises solutions aligned with company IT, cybersecurity and data-governance standards.
- Integrate AI/ML capabilities into hardware, software, and business process ecosystems in a way that supports reliability, usability, and maintainability.
- Contribute to the development of robust, production-ready AI solutions suitable for industrial environments.
Solution Delivery, Partner & Contractor Management
- Write clear technical specifications, statements of work, and acceptance criteria for work delivered by external contractors, software vendors, or internal digital teams.
- Contribute to supplier, platform, and tool selection through structured technical evaluation, benchmarking, and proof-of-concept comparison.
- Steer and review the work of internal & external partners: technical follow-up, design reviews, code and model reviews, quality gates, and acceptance testing; remaining the technical owner and guardian of the delivered solution.
- Ensure solutions remain maintainable after handover through documentation, knowledge transfer, and clearly assigned ownership, so that delivered tools do not become orphaned.
Data Strategy & Analytics
- Lead or support the collection, processing, structuring, and analysis of large-scale operational and business data.
- Assess data readiness ahead of any development (availability, quality, labelling needs, access rights, confidentiality) and define strategies to close the gaps.
- Identify patterns, trends, and performance improvement opportunities using advanced analytics and AI methods.
- Develop data-driven solutions such as predictive maintenance, anomaly detection, quality and performance prediction, forecasting, cost analysis, document and requirement analysis, and knowledge support tools.
Cross-Functional Collaboration
- Work closely with technical, operational, business and IT teams to ensure AI solutions meet business and industry requirements for safety, reliability, performance, and scalability.
- Communicate technical concepts clearly to both technical and non-technical stakeholders.
- Help align AI initiatives with business priorities, operational goals, and constraints.
- Support end-user adoption: training, onboarding, feedback loops and measurement of the benefits realized once the solution is live.
Continuous Innovation
- Evaluate emerging technologies such as edge AI, synthetic data, reinforcement learning, and large language models for industrial and business applicability.
- Stay current with developments in AI, machine learning, and digital tools, and recommend practical adoption opportunities.
- Maintain an active technology watch on the AI tooling landscape and filter it, distinguishing capability gains from hype before proposing adoption.
- Contribute to building an innovation-oriented culture through knowledge sharing, experimentation, and continuous improvement.
Your Profile
Education
- Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, or a related field.
Experience
- Overall 8+ Years Experience.
- Several years (2 to 4) of professional experience in artificial intelligence, machine learning, data science, software engineering, or a comparable technical role.
- Experience developing and deploying AI/ML solutions in industrial, technical, or other complex operational environments is preferred.
Technical Expertise
- Strong programming skills in Python, C++, or similar languages, and proficiency with modern development environments such as VS Code.
Relocation Assistance Provided: Yes
Skills Required
- Master's degree in Engineering, Computer Science, Data Science, Applied Mathematics, or a related field
- 8 or more years of overall professional experience
- 2 to 4 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
- Proficiency with modern development environments such as VS Code
- Experience developing and deploying AI or machine learning solutions in industrial, technical, or complex operational environments
GE Vernova Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Vernova and has not been reviewed or approved by GE Vernova.
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Retirement Support — The 401(k) plan includes company matching contributions and additional company retirement contributions, with access to Fidelity resources and financial planning consultants. Feedback suggests this structure supports long-term savings beyond a basic match.
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Parental & Family Support — Paid parental leave is available with flexible, continuous or non-continuous usage, and is complemented by adoption resources and Work/Life Connections guidance. Maternity leave is described as extended relative to typical workplace norms.
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Leave & Time Off Breadth — Time-off programs include 12 paid holidays, permissive time off for many salaried roles, and dedicated personal, illness, and caregiving time for U.S. new hires. Some hourly roles start with a defined PTO bank, while other roles may offer unlimited time off.
GE Vernova Insights
What We Do
GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name 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. GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, GE Vernova is 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. Together, we have The Energy to Change the World.
Why Work With Us
Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.
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