GE Aerospace is hiring for the positions of Data Scientist in Bengaluru, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | GE Aerospace |
| Position | Data Scientist |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | 2020/ 2021/ 2022/ 2023/ 2024/ 2025 |
| Experience | Freshers/ Experienced |
| Location | Bengaluru, India |
Key Responsibilities:
- Develop and implement advanced NLP models and algorithms, with a strong emphasis on large language models (LLMs) and agentic AI.
- Collaborate with cross-functional teams to identify, analyze, and solve complex NLP challenges across various domains.
- Design and execute experiments to evaluate NLP model performance and enhance their accuracy and efficiency.
- Deploy NLP models into production environments while ensuring scalability, reliability, and robustness.
- Analyze large-scale text datasets to uncover patterns and insights using advanced statistical and machine learning methods.
- Stay current with the latest research and technological advancements in NLP, LLMs, and agentic AI, and apply relevant findings to projects.
- Present findings and recommendations to stakeholders through clear and effective reports and presentations.
- Mentor and support junior data scientists and engineers, promoting best practices in NLP and machine learning.
- Create and maintain comprehensive documentation for NLP models, algorithms, and associated workflows.
- Collaborate with product managers and engineering teams to integrate NLP solutions into products and services.
- Conduct code reviews and ensure adherence to high coding standards and industry best practices.
- Contribute to the design and execution of data collection and annotation strategies aimed at improving model performance.
- Support the development of intellectual property by contributing to patents, research publications, and other scholarly outputs in NLP and AI.
Eligibility Criteria:
- Bachelor’s degree in Computer Science or a STEM field (Science, Technology, Engineering, or Mathematics), along with substantial practical experience.
- Proven experience in developing and deploying NLP models, with a focus on LLMs and agentic AI systems.
- Strong proficiency in Python and experience with NLP libraries and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, Langchain, LangGraph, and spaCy.
- Familiarity with cloud platforms such as AWS, GCP, or Azure for deploying machine learning models.
- Excellent problem-solving abilities, with the capacity to work independently as well as collaboratively in a team environment.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Practical experience with transfer learning, fine-tuning techniques, and prompt engineering for LLMs.
- Understanding of agentic AI principles and their practical applications.
- Familiarity with big data technologies and tools, including Hadoop, Spark, and SQL.
- Contributions to the NLP or AI research community through publications, open-source projects, or conference presentations.
- Hands-on experience in Natural Language Processing (NLP), large language models (LLMs), Python programming, and cloud platforms.
Preferred Skill:
Technical Expertise:
- Awareness of data management methodologies and best practices.
- Awareness of real-time analytics development and deployment.
Domain Knowledge:
- Awareness of industry and technology trends relevant to sectors where the organization operates.
- Awareness of customer and stakeholder management, including understanding key business metrics.
Leadership:
- Ability to function effectively in a team-oriented environment.
- Awareness of critical thinking and structured problem-solving approaches.
- Awareness of presentation techniques and influencing skills.
Personal Attributes:
- Ability to navigate and succeed in ambiguous or rapidly changing situations.
About Company:
GE Aerospace is a world-leading provider of jet and turboprop engines, components and integrated systems for commercial, military, business and general aviation aircraft. At GE Aerospace, we believe the world works better when it flies.
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