- 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

Qualifications/Requirements:

Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with advanced experience.

Desired Characteristics:
- 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

Additional Information

Relocation Assistance Provided: No