Job Description Summary

Job Description

Essential Responsibilities:

• Design and conduct experiments to test and validate AI/ML models in the context of energy systems and grid automation applications.
• Establish clear validation frameworks to ensure models meet required performance standards and business objectives.
• Establish test procedures to validate models with real and simulated grid data.
• Analyze model performance against real-world data to ensure accuracy reliability and scalability.
• Identify and address discrepancies between expected and actual model behavior providing actionable insights to improve model performance.
• Implement automated testing strategies and pipeline to streamline model validation processes.
• Collaborate with Data Engineers and ML Engineers to improve data quality enhance model performance and ensure efficient deployment of validated models.
• Ensure that validation processes adhere to data governance policies and industry standards.
• Communicate validation results insights and recommendations clearly to stakeholders including product managers and leadership teams.

Must-Have Requirements:

• Main Requirement: Minimum of 5 years of experience in the role in a multinational manufacturing company with proven expertise in the energy smart infrastructure or industrial automation sectors including system protection automation monitoring and diagnostics.

• PhD Masters or Bachelors degree in Data Science Computer Science Electrical Engineering or a related field with hands-on experience in model validation.

• Solid experience in validating AI/ML models ensuring they meet business and technical requirements.

• Strong knowledge of statistical techniques model performance metrics and AI/ML validation methodologies.

• Proficiency in programming languages such as Python R or MATLAB.

• Experience with data wrangling feature engineering and dataset preparation for model validation.

• Familiarity with machine learning frameworks (e.g. TensorFlow PyTorch Scikit-learn) and model evaluation techniques.

• Experience with cloud platforms (e.g. AWS Azure GCP) and deploying models in cloud environments.

• Experience with data visualization tools (e.g. Tableau Power BI) to effectively present validation results and insights.

Nice-to-Have Requirements:

• Familiarity with big data tools and technologies such as Hadoop Kafka and Spark.

• Knowledge of data governance frameworks and validation standards in the energy sector.

• Understanding of distributed computing environments and large-scale model deployment.

• Strong communication skills with the ability to clearly explain complex validation results to non-technical stakeholders.

At GE Vernova - Grid Automation you will have the opportunity to work on cutting-edge projects that shape the future of energy. We offer a collaborative environment where your expertise will be valued and your contributions will make a tangible impact. Join us and be part of a team that is driving innovation and excellence in control systems.

About GEV Grid Solutions:

At GEV Grid Solutions we are electrifying the world with advanced grid technologies. As leaders in the energy space our goal is to accelerate the transition for a more energy efficient grid to full fill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotable role in integrating Renewables onto the grid to drive to carbon Grid Solutions we help enable the transition for a greener more reliable Grid. GE Grid Solutions has the most advanced and comprehensive product and solutions portfolio within the energy sector.

Why we come to work:

At GEV our engineers are always up for the challenge - and were always driven to find the best solution. Our projects are unique and interesting and youll need to bring a solution-focused positive approach to each one to do your best. Surrounded by committed loyal colleagues if you can dare to bring your ingenuity and desire to make an impact youll be exposed to game-changing diverse projects that truly allow you to play your part in the energy transition.

What we offer:

A key role in a dynamic international working environment with a large degree of flexibility of work agreements

Competitive benefits and great development opportunities - including private health insurance.

Additional Information