Data Scientist

Job Description Summary

The Data Scientist will work in teams addressing natural language processing, large language models (LLMs), and agentic AI problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of advanced NLP techniques, large language models, agentic AI systems, and semantic analysis methods for extracting and understanding structure in large text data sets.

Job Description

Company Overview

Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!

• Develop and implement state-of-the-art NLP models and algorithms, with a focus on large language models (LLMs) and agentic AI.
• Collaborate with cross-functional teams to identify and solve complex NLP problems in various domains.
• Design and conduct experiments to evaluate the performance of NLP models and improve their accuracy and efficiency.
• Deploy NLP models into production environments, ensuring scalability and robustness.
• Analyze large text data sets to uncover insights and patterns using advanced statistical and machine learning techniques.
• Stay up-to-date with the latest research and advancements in NLP, LLMs, and agentic AI, and apply this knowledge to ongoing projects.
• Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.
• Mentor and guide junior data scientists and engineers in best practices for NLP and machine learning.
• Develop and maintain documentation for NLP models, algorithms, and processes.
• Collaborate with product managers and engineers to integrate NLP solutions into products and services.
• Conduct code reviews and ensure adherence to coding standards and best practices.
• Participate in the development of data collection and annotation strategies to improve model performance.
• Contribute to the development of intellectual property, including patents and publications, in the field of NLP and AI

• Ideal candidate should have experience in NLP, LLM, Python and cloud platforms

• Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with advanced experience.
• Proven experience in developing and deploying NLP models, particularly large language models (LLMs) and agentic AI systems.
• Strong programming skills in Python and familiarity with NLP libraries and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, Langchain, Langgraph and spaCy.
• Experience with cloud platforms and tools for deploying machine learning models (e.g., AWS, GCP, Azure).
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Experience with transfer learning, fine-tuning, and prompt engineering for LLMs.
• Knowledge of agentic AI principles and their application in real-world scenarios.
• Familiarity with big data technologies and tools such as Hadoop, Spark, and SQL.
• Publications or contributions to the NLP and AI research community.

• Technical Expertise: Demonstrated awareness of data management methods. Demonstrated awareness of Realtime analytics development and deployment
• Domain Knowledge: Demonstrated awareness of industry and technology trends in one or more sectors where GE operates. Demonstrated awareness of customer and stakeholder management and business metrics
• Leadership: Demonstrated skill at function in a team setting. Demonstrated awareness of critical thinking and problem-solving methods. Demonstrated awareness of presentation and influencing skills
• Personal Attributes: Demonstrated awareness of how to succeed in ambiguous circumstances

• Humble: respectful, receptive, agile, eager to learn
• Transparent: shares critical information, speaks with candor, contributes constructively
• Focused: quick learner, strategically prioritizes work, committed
• Leadership ability: strong communicator, decision-maker, collaborative
• Problem solver: analytical-minded, challenges existing processes, critical thinker