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GE Vernova · 1 day ago

Site AI Partner

Clearwater, FL

Full-time

Onsite

Mid Level

$82K/yr - $137K/yr

3+ years exp

GE Vernova is seeking a Site AI Partner to support business growth and continuous improvement initiatives by designing, building, and deploying intelligent systems. This role involves integrating AI applications into the site and ensuring their scalability, reliability, and performance to impact key business metrics.

EnergyEnergy EfficiencySustainability

Responsibilities

Partner with Site team to identify and improve processes including equipment that can be automated or otherwise improved to leverage productivity

Define and implement training and certification program for key processes

Develop machine learning models and AI solution

Design and develop AI solutions and algorithms that integrate with existing business systems to enhance functionality and user interaction

Specify and procure new equipment and tooling needed to meet production, quality and growth requirements

Develop and implement VCP projects and be accountable for successful completion

Become partner for the site to leverage the AMP 2.0 possibilities. Coach the different teams in AMP 2.0 and guide them through the different functionalities to develop own use-cases in AMP

Drive the proof-of concept (POC) development for high-impact opportunities at site level and in close cooperation with the PT Central AI team, to quickly run feasibility tests or adapt existing use-cases for the site business needs

Scaling: Partner with the PT central AI team and other stakeholders to scale AI POC to production scale deployments and activate the business impact of the AI solution at site level

Qualification

AI/ML experiencePython proficiencyData analysisSix Sigma certificationLean certificationBilingual (Eng/Spanish)Organizational skillsTeamworkCommunication skillsRelationship building

Required

Bachelor's degree in Computer Science, Engineering (or High School Diploma with 3 additional years of related experience)

3+ years of hands-on experience applying AI/ML to operations (e.g., data analysis, time-series forecasting and anomaly detection, computer vision for quality/inspection, optimization, and basic NLP/LLM use cases)

Proficiency with Python and data analysis methodologies; practical experience with data collection, feature engineering, model evaluation, and experimental POC design