Sr. Software Engineer

Overview

Lead AI/ML software development and MLOps for grid control systems using Azure/AWS.

Key Responsibilities

• data analysis
• ml modeling
• data preparation
• model tuning
• llm development
• team collaboration

Tasks

-Quantifies effectiveness of design choices by gathering data. Drives accountability and adoption. Publishes guidance and documentation to promote adoption of design. -Design, build, and deploy machine learning models for regression, classification, and other predictive analytics tasks using Python. -Clean, preprocess, and transform data to make it suitable for machine learning models, including handling missing data, feature selection, and data augmentation. -Evaluate models using appropriate metrics and fine-tune them for better accuracy, performance, and scalability. -Work on the development, fine-tuning, and deployment of large language models for various NLP tasks such as text classification and language understanding. -Influences through others; builds direct and "behind the scenes" support for ideas. Pre-emptively sees downstream consequences and effectively tailors influencing strategy to support a positive outcome. Uses experts or other third parties to influence. -Collaborate with cross-functional teams including power system engineers, software engineers, and business stakeholders to understand requirements and deliver AI-driven solutions. -Work with internal teams and customers to understand requirements & vision. -Innovates and integrates new processes and/or technology to significantly add value to GE. Identifies how the cost of change weighs against the benefits and advises accordingly. -Drive increased efficiency across the teams, eliminating duplication, leveraging product and technology reuse.

Requirements

• python
• mlops
• azure
• tensorflow
• llms
• master’s

What You Bring

-Subject matter expert in AI/ML methodologies & MLOps using Azure/AWS for Grid Control systems with a proven track record. -Able to effectively direct and mentor others in critical thinking skills. Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices. Finds important patterns in seemingly unrelated information. -Master’s degree in Computer Science/Data Analytics or “STEM” Majors (Science, Technology, Engineering and Math) with minimum 5 years of experience -Proven experience in developing and deploying machine learning models, specifically in regression and classification tasks. -Expert level skills in design, architecture, and development, with an ability to take a deep dive in the implementation aspects if the situation demands. -Proactively identifies and removes project obstacles or barriers on behalf of the team. Able to navigate accountability in a matrixed organization. Communicates and demonstrates a shared sense of purpose. Learns from failure. -Proficient in Python and its machine learning libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy. -Knowledgeable about AI/ML and MLOps development for the electric utility industry. -Hands-on experience in implementing and deploying ML models using MLOps practices. -Be an expert in core data structures as well as algorithms and the ability to implement them. -Influences and energizes other toward the common vision and goal. Maintains excitement for a process and drives to new directions of meeting the goal even when odds and setbacks render one path impassable. -Strong understanding of regression techniques and classification algorithms . -Navigate through ambiguity and prioritizing conflicting asks & tasks. -Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making. Understands when change is needed. Participates in technical strategy planning. -Experience working with large language models (LLMs) like GPT, BERT, et -Experience with natural language processing (NLP) techniques and tools for working with large language models -Experience in agile methodologies such as SCRUM.

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About Ge Vernova

-Traces roots back to Edison and Alstom, merging power, renewable, digital & financial wings. -Headquartered in Cambridge, MA, crafts large-scale gas turbines, SMRs, wind turbines, hydro and grid tech to fuel economies. -On the nuclear front, advancing small modular reactors (like BWRX‑300) in partnership with utilities and supporting semiconductor projects. -Wind prowess spans onshore, offshore and blade making—with key sites like Dogger Bank offshore and blade plants in Spain. -Electrification arm tackles grid stability: HVDC, transformers, storage, conversion, plus GridOS software powering smarter infrastructure. -Weaves finance and consulting through energy-infrastructure investments, funding solar farms to pipelines via GE Energy Financial Services.

Sector Specialisms