Job Description
๐Job ID: R5034596
๐ขCompany: GE Aerospace
๐Location: Bengaluru, Karnataka, India ๐
๐ผJob Type: Internship ๐
๐ขWork Mode: Onsite / Hybrid ๐ข
โณExperience: Freshers / Students ๐จโ๐ป
๐Education: Bachelorโs / Masterโs in Mechanical, Aerospace, AI, ML, Statistics, or related Engineering field ๐
๐ฐExpected Stipend: โน30,000 โ โน80,000 Thousand Per Month ๐ธ
๐Job Category: Engineering, Information Technology, Aerospace Engineering, Artificial Intelligence, Machine Learning, Data Analytics, Python Development, Aviation Technology, NLP, Engineering Research ๐
๐Website: Website
๐Contact: Contact us
๐About the Company:
GE Aerospace is a global leader in aviation and aerospace technology โ๏ธ๐ 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 ๐GE Aerospace supports both commercial and military aviation sectors while driving innovation through advanced analytics, machine learning, and predictive maintenance technologies โก
๐กAbout the Role:
GE Aerospace is hiring Analytics Interns ๐จโ๐ป 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 ๐โ๏ธ
๐Key Responsibilities:
๐ Develop and implement analytics and machine learning algorithms ๐ค
๐ Build data pipelines and recommendation systems using Python ๐
๐ Analyze aerospace engine data to improve maintenance insights โ๏ธ
๐ Conduct experiments and evaluate analytical models ๐
๐ Work on NLP, AI, and statistical analysis applications ๐ง
๐ Collaborate with engineering and analytics teams ๐ค
๐ Document findings and communicate insights effectively ๐
๐ Handle domain-specific aerospace data challenges โ๏ธ
๐ Support integration of AI solutions into aviation workflows ๐
๐ฏRequirements:
๐ฏ Currently pursuing Bachelorโs or Masterโs degree in Engineering ๐
๐ฏ Exposure to Machine Learning, AI, NLP, or Statistics ๐ค
๐ฏ Strong programming skills in Python ๐
๐ฏ Knowledge of algorithms and data processing ๐
๐ฏ Good analytical and problem-solving abilities ๐
๐ฏ Ability to work in ambiguous and fast-paced environments โก
๐ฏ Strong communication and collaboration skills ๐ฌ
๐ฏ Passion for aerospace and advanced analytics โ๏ธ
๐Preferred Skills:
โ
Experience with industrial domain data analytics ๐
โ
Exposure to aviation, manufacturing, healthcare, or energy datasets โ๏ธ
โ
Familiarity with AI/ML workflows and experimentation ๐ค
โ
Knowledge of data pipelines and recommendation systems ๐
โ
Interest in predictive maintenance technologies ๐
โ
Ability to work with safety-critical systems ๐
โ
Strong research and innovation mindset ๐ง
๐Why Join GE Aerospace?
โ
Work with a world-leading aerospace technology company โ๏ธ
โ
Exposure to AI-powered aviation analytics and ML systems ๐ค
โ
Opportunity to solve real-world aerospace engineering challenges ๐
โ
Collaborate with global engineering and research teams ๐
โ
Gain hands-on experience in aviation data science ๐
โ
Strong learning and innovation-focused culture ๐
โ
Opportunity to contribute to next-generation flight technologies โก