Sr. Data Scientist
GE Aerospace (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted 1d ago
Reach people at GE Aerospace
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at GE Aerospace you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Develop and implement AI and machine learning models to solve business problems within GE Aerospace's cross-functional teams with minimal supervision.
- Collaborate with data scientists, engineers, and stakeholders to translate algorithms into production-ready products and maintain deployed models ensuring performance.
- Optimize AI/ML models for performance and scalability while maintaining comprehensive documentation and staying updated on latest AI advancements.
Minimum Requirements
- Master's degree (M.Tech/M.E./M.S.) in AI, Machine Learning, Computer Science, Applied Statistics or related STEM field.
- Proficiency in Python (mandatory) and SQL, with experience in Python web frameworks.
- Hands-on experience implementing Generative AI solutions (including fine-tuning, prompt engineering, and using pre-trained models).
- Familiarity with cloud platforms (e.g., AWS, Azure, Databricks) and their AI/ML services. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in operationalizing AI/ML models within industrial or aerospace contexts demonstrating domain expertise in analytics development.
- Skilled in working cross-functionally to deliver AI solutions from prototype to production with stakeholder management focus.
- Capable of applying advanced AI/ML techniques for data quality, feature extraction, and business problem solving, with good understanding of GE Aerospace business and value creation.