Exciting Opportunity: GE Aerospace Data Scientist – Harness AI to Revolutionize Flight! | Up to 10 LPA

About GE Aerospace

At GE Aerospace, we believe the world works better when it flies. As a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft, our substantial investment in research and development keeps us looking ahead. We have a relentless dedication to the future of safe and more sustainable flight and need talented people like you to make it happen.

Growth & Development

Whether you’re just beginning your career or are an experienced leader, GE Aerospace is committed to supporting your professional development. Here, you’ll own your career development, and we’ll support you with the tools and resources you need.

Our Culture

GE Aerospace. As the manufacturer of the industry’s largest and growing commercial and defense engine fleet, our work matters to the world, and we care deeply about how we do it. In 2024, we launched FLIGHT DECK, our proprietary lean operating model, to better serve our customers through a relentless focus on safety, quality, delivery, and cost, always in that order. Our confidence to deliver for today, tomorrow, and the future is due to our culture rooted in three lean foundational behaviors: respect for people, continuous improvement, and customer-driven.

Aircraft and Aerospace Component Manufacturing

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Job Title: Data Scientist at GE Aerospace

Location: India

Job Type: Full Time

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About the job

Job Description Summary

The Data Scientist at GE Aerospace 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!

Site Overview

Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. GE Aerospace Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing.

Role Overview

• 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.
  

The Ideal Candidate

• An ideal candidate should have experience in NLP, LLM, Python, and cloud platforms.
  

Required Qualifications

• 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.
  

Preferred Qualifications

• Technical Expertise: Demonstrated awareness of data management methods. Demonstrated awareness of real-time 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
  

Desirable Qualification

• 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
  

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.

Additional Information

Relocation Assistance Provided: No

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How to Apply:

Please submit your resume and cover letter through Submit Resume to apply for this position.

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