Application ends: July 28, 2026
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Job Description

๐Ÿ†”Job ID: R5034596
๐ŸขCompany: GE Aerospace
๐Ÿ“Location: Bengaluru, Karnataka, India ๐ŸŒ†
๐Ÿ’ผJob Type: Internship ๐ŸŽ“
๐ŸขWork Mode: Onsite / Hybrid ๐Ÿข
โณExperience: Freshers / Students ๐Ÿ‘จโ€๐Ÿ’ป
๐ŸŽ“Education: Bachelorโ€™s / Masterโ€™s in Mechanical, Aerospace, AI, ML, Statistics, or related Engineering field ๐ŸŽ“
๐Ÿ’ฐExpected Stipend: โ‚น30,000 โ€“ โ‚น80,000 Thousand Per Month ๐Ÿ’ธ
๐Ÿ“ŠJob Category: Engineering, Information Technology, Aerospace Engineering, Artificial Intelligence, Machine Learning, Data Analytics, Python Development, Aviation Technology, NLP, Engineering Research ๐ŸŒ
๐ŸŒWebsite: Website
๐Ÿ“žContact: Contact us


๐ŸŒŸAbout the Company:
GE Aerospace is a global leader in aviation and aerospace technology โœˆ๏ธ๐ŸŒ specializing in jet engines, integrated systems, and advanced aerospace engineering solutions.The company focuses on innovation in flight technologies, AI-powered analytics, engine performance optimization, and safety-critical aviation systems ๐Ÿš€GE Aerospace supports both commercial and military aviation sectors while driving innovation through advanced analytics, machine learning, and predictive maintenance technologies โšก


๐Ÿ’กAbout the Role:
GE Aerospace is hiring Analytics Interns ๐Ÿ‘จโ€๐Ÿ’ป for its Bengaluru engineering team.This role involves working on advanced analytics and machine learning solutions that help improve aircraft engine health monitoring and maintenance decision-making.Candidates will collaborate with aerospace engineers and analytics teams to develop algorithms, process large-scale aviation data, build recommendation systems, and generate insights for engine fleet performance optimization ๐Ÿš€โœˆ๏ธ


๐Ÿ“ŒKey Responsibilities:
๐Ÿ“Œ Develop and implement analytics and machine learning algorithms ๐Ÿค–
๐Ÿ“Œ Build data pipelines and recommendation systems using Python ๐Ÿ
๐Ÿ“Œ Analyze aerospace engine data to improve maintenance insights โœˆ๏ธ
๐Ÿ“Œ Conduct experiments and evaluate analytical models ๐Ÿ“Š
๐Ÿ“Œ Work on NLP, AI, and statistical analysis applications ๐Ÿง 
๐Ÿ“Œ Collaborate with engineering and analytics teams ๐Ÿค
๐Ÿ“Œ Document findings and communicate insights effectively ๐Ÿ“š
๐Ÿ“Œ Handle domain-specific aerospace data challenges โš™๏ธ
๐Ÿ“Œ Support integration of AI solutions into aviation workflows ๐Ÿš€


๐ŸŽฏRequirements:
๐ŸŽฏ Currently pursuing Bachelorโ€™s or Masterโ€™s degree in Engineering ๐ŸŽ“
๐ŸŽฏ Exposure to Machine Learning, AI, NLP, or Statistics ๐Ÿค–
๐ŸŽฏ Strong programming skills in Python ๐Ÿ
๐ŸŽฏ Knowledge of algorithms and data processing ๐Ÿ“š
๐ŸŽฏ Good analytical and problem-solving abilities ๐Ÿ”
๐ŸŽฏ Ability to work in ambiguous and fast-paced environments โšก
๐ŸŽฏ Strong communication and collaboration skills ๐Ÿ’ฌ
๐ŸŽฏ Passion for aerospace and advanced analytics โœˆ๏ธ


๐ŸŒŸPreferred Skills:
โœ… Experience with industrial domain data analytics ๐Ÿ“Š
โœ… Exposure to aviation, manufacturing, healthcare, or energy datasets โš™๏ธ
โœ… Familiarity with AI/ML workflows and experimentation ๐Ÿค–
โœ… Knowledge of data pipelines and recommendation systems ๐ŸŒ
โœ… Interest in predictive maintenance technologies ๐Ÿš€
โœ… Ability to work with safety-critical systems ๐Ÿ”
โœ… Strong research and innovation mindset ๐Ÿง 


๐ŸŒŸWhy Join GE Aerospace?
โœ… Work with a world-leading aerospace technology company โœˆ๏ธ
โœ… Exposure to AI-powered aviation analytics and ML systems ๐Ÿค–
โœ… Opportunity to solve real-world aerospace engineering challenges ๐Ÿš€
โœ… Collaborate with global engineering and research teams ๐ŸŒ
โœ… Gain hands-on experience in aviation data science ๐Ÿ“Š
โœ… Strong learning and innovation-focused culture ๐Ÿ“ˆ
โœ… Opportunity to contribute to next-generation flight technologies โšก