GE Vernova is seeking an AI/ML Implementation Engineer to join their HQ Quality Engineering & AI/ML Implementation team. The role involves creating real impact from day one by enabling smarter quality management through automation, prediction, and real-time insights. The ideal candidate will be a visionary, results-driven, and technically exceptional AI Project Engineer.

Company: GE Vernova

Role: AI/ML IMPLEMENTATION ENGINEER (M/F/D)

Location: Remote - United States, Baden CH 1

Experience:

Some relevant experience in AI/ML engineering, data science, or a related technical discipline

Key Skills:

AI/ML engineering
Python
FastAPI
prompt engineering techniques (Zero-shot, Few-shot, Chain-of-Thought prompting)
Large Language Models (LLMs)
data science
statistics
mathematics
engineering

Qualification:

Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, or a related technical field or equivalent experience
Master’s degree in data science, computer science, statistics, mathematics, engineering, or a related technical field (desired)

Role Focus:

Leading the analysis of current AI adoption and integration maturity across business lines
Defining a structured homologation approach for scalable AI deployment in quality processes
Identifying and delivering quick wins in the field of preventive quality
Designing, developing, and deploying production-grade AI and ML applications
Leveraging advanced prompt engineering techniques and Large Language Models (LLMs)
Driving the development and execution of the aligned Quality Suite 5.0 AI adoption roadmap
Acting as the strategic and technical bridge between the Quality Engineering domain and the Digital execution team
Collaborating closely with Data Engineers, Data Scientists, and AI/ML engineers

Additional responsibilities:

Engaging with internal business line stakeholders across GE Vernova's global organization
Contributing to the evolution of the Digital Quality Suite
Documenting solution designs, model performance, and data definitions clearly

Nice to have:

Advanced AI/ML engineering proficiency
Deep understanding of AI quality and robustness
Basic knowledge of quality management processes and methodologies
Proven self-driven delivery mindset
Structured problem-solving with visionary thinking
Strong collaborative mindset
Proactive, intellectually curious, and comfortable operating in a dynamic, evolving environment
Strong storytelling ability
Background in the energy, automotive, or large-scale manufacturing industries
Startup or fast-paced scale-up experience
Familiarity with enterprise platforms such as SAP, Salesforce, or similar ERP/CRM systems
Experience with AWS cloud services
Understanding of Semantic Data Models and data modelling concepts
Exposure to MLOps principles
Familiarity with version control systems and collaborative development practices
Experience in international, multicultural team environments and working across time zones

Other:

Relocation Assistance Provided
Competitive compensation
Discretionary annual bonus
Medical, dental, vision, and prescription drug coverage
Access to Health Coach
Employee Assistance Program
Retirement benefits
Tuition assistance
Adoption assistance
Paid parental leave
Disability benefits
Life insurance
12 paid holidays
Permissive time off

AI/ML IMPLEMENTATION ENGINEER (M/F/D)

Skills Required

Description