[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.ResponsibilitiesLeading the analysis of current AI adoption and integration maturity across business lines and defining a structured homologation approach for scalable AI deployment in quality processesIdentifying and delivering quick wins in the field of preventive quality — translating business challenges into concrete AI/ML solutions with measurable impactDesigning, developing, and deploying production-grade AI and ML applications that automate quality workflows, enable predictive quality insights, and reduce quality-related incidentsLeveraging 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 workflowsDriving 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 yearActing 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 prioritizationCollaborating closely with Data Engineers, Data Scientists, and AI/ML engineers to ensure AI solutions are robust, secure, scalable, and production readyLeading in a project environment — influencing without formal authority, aligning cross-functional teams, and delivering results with pace and precisionEngaging 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 feedbackContributing to the evolution of the Digital Quality Suite, bringing innovative ideas and a forward-thinking mindset to continuously improve our quality tooling landscapeDocumenting solution designs, model performance, and data definitions clearly to ensure transparency and reproducibility across the teamStaying current with the latest advancements in AI, ML, and responsible AI practices, proactively proposing new approaches that enhance our quality solutionsSkillsBachelor's degree in data science, computer science, statistics, mathematics, engineering, or a related technical field or equivalent experienceSome relevant experience in AI/ML engineering, data science, or a related technical disciplineMaster's degree in data science, computer science, statistics, mathematics, engineering, or a related technical fieldAdvanced 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 reliabilityBasic 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 environmentStructured problem-solving with visionary thinking — ability to break down complex challenges into actionable plans while simultaneously driving a forward-looking AI adoption roadmapStrong collaborative mindset — able to define requirements clearly and work effectively with a distributed Digital execution teamProactive, intellectually curious, and comfortable operating in a dynamic, evolving environmentStrong storytelling ability — capable of turning complex analytical findings into compelling narratives for business stakeholdersBackground in the energy, automotive, or large-scale manufacturing industriesStartup or fast-paced scale-up experience — comfortable with ambiguity, rapid iteration, and delivering high-impact results with lean resourcesFamiliarity with enterprise platforms such as SAP, Salesforce, or similar ERP/CRM systems from an AI and data integration perspectiveExperience 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 systemsExposure to MLOps principles — model versioning, experiment tracking, deployment basicsFamiliarity with version control systems (e.g., Git) and collaborative development practicesExperience in international, multicultural team environments and working across time zonesBenefitsRelocation Assistance Provided: YesThis is a remote positionBonus eligibility: discretionary annual bonus.Medical, dental, vision, and prescription drug coverageAccess to Health Coach from GE Vernova, a 24/7 nurse-based resourceAccess to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral servicesGE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributionsAccess to Fidelity resources and financial planning consultantsTuition assistanceAdoption assistancePaid parental leaveDisability benefitsLife insurance12 paid holidaysPermissive time offCompany OverviewGE Vernova provides energy consulting, gas power, and grid solutions. It was founded in 2024, and is headquartered in Boston, Massachusetts, USA, with a workforce of 10001+ employees. Its website is https://www.gevernova.com.