[Remote] AI/ML Implementation Engineer (m/f/d)

Note: The job is a remote job and is open to candidates in USA. GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy. We are seeking a visionary AI Project Engineer to enhance quality processes using AI, driving automation and predictive insights while collaborating with cross-functional teams to implement innovative solutions.

Responsibilities

• Leading the analysis of current AI adoption and integration maturity across business lines and defining a structured homologation approach for scalable AI deployment in quality processes
• Identifying and delivering quick wins in the field of preventive quality — translating business challenges into concrete AI/ML solutions with measurable impact
• Designing, developing, and deploying production-grade AI and ML applications that automate quality workflows, enable predictive quality insights, and reduce quality-related incidents
• Leveraging advanced prompt engineering techniques (Zero-shot, Few-shot, Chain-of-Thought) and Large Language Models (LLMs) to build intelligent quality tools that augment human decision-making and automate quality workflows
• Driving the development and execution of the aligned Quality Suite 5.0 AI adoption roadmap, informed by real business line requirements and delivering a minimum of three new AI applications in production within the first year
• Acting as the strategic and technical bridge between the Quality Engineering domain and the Digital execution team — defining data requirements, solution architecture, and AI use case prioritization
• Collaborating closely with Data Engineers, Data Scientists, and AI/ML engineers to ensure AI solutions are robust, secure, scalable, and production ready
• Leading in a project environment — influencing without formal authority, aligning cross-functional teams, and delivering results with pace and precision
• Engaging with internal business line stakeholders across GE Vernova's global organization to understand their quality data needs, gather requirements, and iterate solutions based on real-world feedback
• Contributing to the evolution of the Digital Quality Suite, bringing innovative ideas and a forward-thinking mindset to continuously improve our quality tooling landscape
• Documenting solution designs, model performance, and data definitions clearly to ensure transparency and reproducibility across the team
• Staying current with the latest advancements in AI, ML, and responsible AI practices, proactively proposing new approaches that enhance our quality solutions

Skills

• Bachelor's degree in data science, computer science, statistics, mathematics, engineering, or a related technical field or equivalent experience
• Some relevant experience in AI/ML engineering, data science, or a related technical discipline
• Master's degree in data science, computer science, statistics, mathematics, engineering, or a related technical field
• Advanced AI/ML engineering proficiency — hands-on expertise in development with Python, FastAPI, and prompt engineering techniques (Zero-shot, Few-shot, Chain-of-Thought prompting)
• Deep understanding of AI quality and robustness — responsible AI principles, model validation, security, bias mitigation, and production-grade AI reliability
• Basic knowledge of quality management processes and methodologies (e.g., APQP, 8D, FMEA, or similar quality KPI frameworks)
• Proven self-driven delivery mindset — track record of independently driving projects from concept to production in a fast-paced, cross-functional enterprise environment
• Structured problem-solving with visionary thinking — ability to break down complex challenges into actionable plans while simultaneously driving a forward-looking AI adoption roadmap
• Strong collaborative mindset — able to define requirements clearly and work effectively with a distributed Digital execution team
• Proactive, intellectually curious, and comfortable operating in a dynamic, evolving environment
• Strong storytelling ability — capable of turning complex analytical findings into compelling narratives for business stakeholders
• Background in the energy, automotive, or large-scale manufacturing industries
• Startup or fast-paced scale-up experience — comfortable with ambiguity, rapid iteration, and delivering high-impact results with lean resources
• Familiarity with enterprise platforms such as SAP, Salesforce, or similar ERP/CRM systems from an AI and data integration perspective
• Experience with AWS cloud services from an AI/ML perspective (e.g., SageMaker, S3, Lambda, Bedrock)
• Understanding of Semantic Data Models and data modelling concepts across heterogeneous systems
• Exposure to MLOps principles — model versioning, experiment tracking, deployment basics
• Familiarity with version control systems (e.g., Git) and collaborative development practices
• Experience in international, multicultural team environments and working across time zones

Benefits

• Relocation Assistance Provided: Yes
• This is a remote position
• Bonus eligibility: discretionary annual bonus.
• Medical, dental, vision, and prescription drug coverage
• Access to Health Coach from GE Vernova, a 24/7 nurse-based resource
• Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
• GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
• Access to Fidelity resources and financial planning consultants
• Tuition assistance
• Adoption assistance
• Paid parental leave
• Disability benefits
• Life insurance
• 12 paid holidays
• Permissive time off

Company Overview