Data Scientist Job in Bengaluru at GE Aerospace

GE Aerospace is hiring for the role of Data Scientist!

Responsibilities of the Candidate:

• 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

Requirements:

• 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.