Jobs at GE Vernova

Designs and validates mechanical components and packaging for LV/MV drives products. Leads requisition engineering, new product introduction, localization, cost reduction, value analysis, and value engineering activities. Develops concepts, layouts, equipment designs, and technical specifications while applying CAD, sheet metal design, international standards, and GD&T. Collaborates cross-functionally on manufacturing, quality, risk management, and global assignments, with responsibility for on-time delivery and first-time yield.

Leads the global Treasury Infrastructure team and oversees treasury application performance, data governance, interface monitoring, system stability, bank connectivity, and payment reporting. Partners with technology teams, vendors, and banks on infrastructure enhancements, testing, cybersecurity, and business continuity. Provides functional design oversight, supports Lean practices, resolves transmission issues, and makes data-driven go/no-go decisions while coaching team members and ensuring reliable treasury operations.

Design, develop, and maintain scalable software solutions integrating AI and machine learning models. Collaborate with data scientists, product managers, and cross-functional teams to translate requirements into technical solutions. Write high-quality code, review architectures, improve development processes, support product introductions, resolve technical issues, and follow Agile and NPI/OTR methodologies. Contribute to internal tools, coding standards, documentation, and technical training.

Plans and coordinates cross-functional AI/ML, software, and data projects from concept through production using Agile and NPI frameworks. Manages roadmaps, backlogs, risks, dependencies, stakeholder communication, project reporting, KPIs, business impact, and savings validation. Facilitates Scrum ceremonies, supports data and model delivery, tracks financial status, and drives continuous improvement across innovation projects.

Design, develop, and maintain scalable software solutions integrating AI and machine learning models into commercial products and internal processes. Collaborate with data scientists, product managers, and cross-functional stakeholders to translate business needs into technical solutions. Write high-quality code, support software architecture and design reviews, improve development processes, and follow Agile and NPI/OTR methodologies while contributing to product introductions, cost improvements, and problem resolution.

Leads the architecture, development, and maintenance of scalable AI/ML software solutions. Collaborates with software engineers, product managers, and stakeholders to translate business needs into technical designs. Provides technical leadership, integrates machine learning models, ensures performance, security, code quality, and deployment best practices, and supports Agile and NPI processes. Contributes to operational improvements, technical reviews, problem resolution, and team development.

Designs, develops, and maintains scalable software solutions incorporating AI and machine learning for commercial products and internal processes. Collaborates with data scientists, product managers, and cross-functional stakeholders to translate requirements into technical solutions. Responsibilities include architecture, coding, testing, documentation, Agile and NPI/OTR processes, deployment best practices, technical reviews, operational improvements, and problem resolution.

Design, develop, and maintain scalable software solutions incorporating AI and machine learning for commercial products and internal processes. Collaborate with data scientists, product managers, and cross-functional teams to translate requirements into technical designs. Write clean code, review architectures, support product introduction, improve processes, and uphold Agile, NPI, quality, security, and documentation standards. Contribute to training, problem resolution, and continuous improvement.

Designs, develops, and maintains scalable software solutions integrating AI and machine learning models into commercial products and internal processes. Collaborates with data scientists, product managers, and cross-functional stakeholders to translate business needs into technical solutions. Responsibilities include software architecture, coding, testing, documentation, technical reviews, process improvement, product introduction, and adherence to Agile and NPI/OTR methodologies.

Implements DevOps best practices, optimizes cloud infrastructure, enhances CI/CD pipelines, supports DevOps maturity tracking, and develops internal tools. Collaborates with cross-functional teams to translate business requirements into technical solutions, applies Agile and DevSecOps methodologies, maintains documentation, and delivers technical training. Requires hands-on experience with AWS or Azure, Jenkins or GitHub Actions, DevOps tool migration, and Python scripting.

Designs, develops, and maintains scalable software solutions integrating artificial intelligence and machine learning into commercial products and internal processes. Collaborates with data scientists, product managers, and cross-functional teams; writes and reviews code; architects systems; supports product introduction and process improvements; follows Agile and NPI/OTR methodologies; maintains documentation and coding standards; and contributes to technical training and problem resolution.

Defines and executes verification and validation strategies for AI/ML-enabled software. Develops test plans, protocols, automation, and validation frameworks covering functional, integration, system, regression, and performance testing. Validates model accuracy, robustness, data quality, and operational requirements; supports defect investigation, root cause analysis, traceability, documentation, and release readiness. Collaborates with software engineers, data scientists, product managers, and business stakeholders while following Agile and NPI processes.

Leads the AI transformation strategy for the Power Conversion and Storage business, building AI infrastructure and overseeing solutions across engineering, services, manufacturing, sourcing, and commercial functions. Establishes AI roadmaps, governance, deployment standards, and productivity goals while managing workstream leaders. Drives process re-engineering, predictive maintenance, computer vision, supply chain analytics, pricing optimization, change management, workforce upskilling, and responsible AI adoption.

Develop and maintain detailed project schedules for complex APAC industrial, EPC, energy, and infrastructure projects. Monitor progress, critical paths, risks, and schedule performance; coordinate updates across engineering, procurement, construction, site execution, and commissioning teams. Prepare look-ahead, recovery, and catch-up schedules, forecasts, dashboards, S-curves, milestone reports, and project control documentation.

Leads technical product management across business analysis, solution architecture, automation, vendor delivery, and product lifecycle management. Translates business processes into IT requirements and automation solutions using RPA, AI, and related technologies. Defines current and future-state processes, evaluates solution portfolios, manages development and deployment, oversees vendors, and drives cross-functional stakeholder alignment and innovation.

Designs, develops, and maintains scalable software solutions integrating AI and machine learning models into commercial products and internal processes. Collaborates with data scientists, product managers, and cross-functional stakeholders; writes high-quality code; reviews architectures; supports product launches and process improvements; and follows Agile, NPI, and deployment best practices.

Design, develop, deploy, and integrate AI, machine learning, and generative AI solutions for industrial and business applications. Own the machine learning lifecycle, define architectures, assess data readiness, monitor production models, and ensure reliability and maintainability. Evaluate emerging AI technologies, manage technical delivery from partners and contractors, and collaborate with cross-functional stakeholders to identify use cases, support adoption, and deliver measurable operational improvements.

Designs, develops, deploys, and integrates AI, machine learning, deep learning, and generative AI solutions for industrial and business applications. Owns the machine learning lifecycle, solution architecture, data strategy, model monitoring, and production integration. Evaluates emerging technologies, manages technical delivery from partners and contractors, and collaborates with cross-functional teams to deliver scalable, reliable, and maintainable AI solutions.

Design and deliver production-ready AI, machine learning, and generative AI solutions for industrial and business challenges. Own the ML lifecycle, architecture, data strategy, deployment, monitoring, and integration across cloud and on-premises environments. Evaluate emerging technologies, guide internal and external partners, define technical requirements, and support adoption through documentation, training, and cross-functional collaboration.

Designs, develops, deploys, and integrates AI, machine learning, generative AI, and analytics solutions for industrial and business challenges. Owns the machine learning lifecycle, solution architecture, data strategy, production integration, monitoring, and technical evaluation of internal and external partners. Collaborates with cross-functional stakeholders, supports adoption, evaluates emerging AI technologies, and develops solutions such as predictive maintenance, anomaly detection, forecasting, document analysis, and knowledge tools.