Director of Data Analytics & Artificial Intelligence (AI) Solutions

Key Skills

Aartificial intelligence, Apache Hadoop, Apache Kafka, C Programming, C# Programming, C++, Computer Vision (CV), Data Analytics, Data science techniques, Database, Effective communication skills, Image processing, Java Programming, Machine learning techniques, MATLAB Programming, NoSQL, Python Programming, R Programming, SPARK Programming, SQL

Job Description

Come bring your energy to change the world

Grid Solutions, part of the GE Vernova portfolio of energy businesses, serves customers globally with over 12,000 employees. Grid Solutions provides equipment, systems, and services to bring power reliably and efficiently from the point of generation to end power consumers. We electrify the world with advanced grid technologies and accelerate the energy transition.

GE Vernova, a dynamic accelerator comprised of our Power, Renewable Energy, Digital and Energy Financial Services businesses, is focused on leading a new era of energy - electrifying the world while simultaneously working to decarbonize it.

Grid Automation is part of the Grid Solutions business and a leader in the protection, control, and automation of the world’s power grids. As a part of the Innovation team you will drive through leadership on digitalization on data and artificial intelligence (AI) projects related to the power grid to enable the energy transition. You'll have an opportunity to work with state-of-the-art technologies such as multi-core SoC processors, Yocto Linux, cloud native software, 5G, model-to-code tools and AI/ML to develop and refine your professional skills. You will collaborate in a modern lean-agile product development environment, experience a global culture like no other and take advantage of in-house and external training opportunities.

Come join us - #GASW - GE Vernova. Change starts here.

ESSENTIAL RESPONSIBILITIES:

Director of data analytics and AI solutions is responsible for:

• Define the process to collect, structure and use of databases for AI, to extract value internally and for our customers
• Build a team of AI/ML experts to develop differentiated products and solutions; with ability to work on customers value-driven applications/analytics to drive innovations
• Develop the key capabilities required for data management and data analytics across Grid Automation
• Lead the development of AI/ML community within Grid Automation
• Build the development environment necessary to effectively use the AI/ML technology (MLOps)
• Collaborate with product management, R&D, and other functions in GA to define, develop, and deploy AI/ML applications
• Ability to contribute & influence industry regulations, data policy, protection and privacy terms & conditions
• Ability to build maturity models to improve technology readiness levels of appropriate AI/ML models for business operational efficiency improvements as well as, industrial applications, especially energy/grid application.
• Actively collaborate to build competency in the business on Big Data, OR, Business intelligence

QUALIFICATIONS/REQUIREMENTS:

• Master’s Degree in computer science, electrical engineering, or electric power engineering, specifically in the computer and electric power engineering field
• Minimum of 5 years of experience and knowledge of artificial intelligence (AI) and machine learning (ML), including, unsupervised learning, supervised learning, and reinforcement learning, large language models (LLMs).
• Minimum of 5 years of research or industry experience with simulation using scientific programming tools or languages, such as MATLAB, C++, C#, or Python, R, etc.
• Minimum of 3 years of data science working experience

DESIRED CHARACTERISTICS:

• PhD Degree in computer science, electrical engineering, or electric power engineering, specifically in the computer and electric power engineering field
• Flexible and adaptable; open to change and modification of innovation strategies agile manner.
• Proven experience in applying AI/ML frameworks/workflows, AI/MLOps with CI/CD using Cloud-native and on-prem development and deployment in OT/industrial automation environments.
• Strategist to build AI and data digitalization roadmap alignment with customer requirements.
• Able to influence international committee for data privacy and protection regulation and in decision meeting with customers, partners or project developers.
• Familiarity with energy industry standards and documentation procedures
• Experience as AI solution lead architect, AI team lead, industry recognized subject matter expert.
• PhD. Degree in computer science, electrical engineering, or electric power engineering, specifically in the computer and electric power engineering field with minimum 5 years of data science working experience.
• Advanced experience in utilizing and applying common programming languages, such as Python, C/C++, Java, Spark and Hadoop, R Programming, Kafka, C#, MATLAB, along with good familiarity with power system modeling and data communication format.
• Expertise in Machine learning/Deep learning methods - LLM, NLP, Computer vision/ Image Processing
• Expertise of GraphDB, SQL/NoSQL, MS Access, databases
• Understanding/experience applying data analytics for Electrical Power System or industrial OT system
• Understanding of Linux, GPU Experience, Spark, Scala for distributed computing
• Strong communication skills and a proactive and open approach to conflict resolution
• Strong organizational skills, self-motivated, and self-directed
• Proven record of writing and presenting papers at industry conferences/journals
• Out-of-box ideas rapid prototyping to create functional prototypes
• Knowledge in industrial automation, application of AI technologies for Industrial Automation.

Additional Information

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).