Sr. Software Engineer

ics tasks using Python.**

• Work on the development, fine-tuning, and deployment of large language models for various NLP tasks such as text classification and language understanding.

• 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.

• Collaborate with cross-functional teams including power system engineers, software engineers, and business stakeholders to understand requirements and deliver AI-driven solutions.

• Experience in agile methodologies such as SCRUM.

• Work with internal teams and customers to understand requirements & vision.

• Drive increased efficiency across the teams, eliminating duplication, leveraging product and technology reuse.

• Navigate through ambiguity and prioritizing conflicting asks & 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.

• Be an expert in core data structures as well as algorithms and the ability to implement them.

Education Qualification
For roles outside USA:

• Master's degree in Computer Science/Data Analytics or "STEM" Majors (Science, Technology, Engineering and Math) with minimum 5 years of experience

Desired Characteristics
Technical Expertise:

• Quantifies effectiveness of design choices by gathering data. Drives accountability and adoption. Publishes guidance and documentation to promote adoption of design.
• Knowledgeable about AI/ML and MLOps development for the electric utility industry.
• Proven experience in developing and deploying machine learning models, specifically in regression and classification tasks.
• Experience working with large language models (LLMs) like GPT, BERT, et
• Proficient in Python and its machine learning libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy.
• Strong understanding of regression techniques and classification algorithms .
• Hands-on experience in implementing and deploying ML models using MLOps practices.
• Experience with natural language processing (NLP) techniques and tools for working with large language models

.
Leadership:

• 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.

• 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.

• 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.

Personal Attributes:

• 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.

• 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.

• 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.

#LI-CK1

Additional Job Description

Additional Information

Compensation Grade

LPB2

Relocation Assistance Provided: Yes