{"id":174615,"url":"https://alion.io/job/airbus-airframe-data-scientist-robust-aiml","title":"Airframe Data Scientist - Robust AI/ML","company":{"id":3100,"name":"Airbus","domain":"airbus.com","url":"https://alion.io/company/airbus","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":637,"ghost_share":0.002,"stale_share":0.647,"repost_share":0.014,"time_to_fill_p50_days":27,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"C#","optional":true},{"name":"JavaScript","optional":true},{"name":"Julia","optional":true},{"name":"Keras","optional":true},{"name":"LangChain","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-06-18T00:00:00Z","employer_posted_date":"2026-06-18","last_verified_at":"2026-10-30T11:19:58Z","board_verified":true,"closed_at":null,"days_open":134,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":133},"description":"Job Description:\nJob description: Airframe Data Scientist - Robust AI/ML\nTeam: Structures - Aerostructure Data Management\nBackground:\nDesigning, optimizing, and validating robust airframe structures is a fundamental aspect of aviation that ensures aircraft safety and performance. The Advanced Capabilities cluster in Aerostructure Data Management team focuses on bridging traditional structural engineering with advanced digital technologies including artificial intelligence. By integrating physics-based modeling with cutting-edge data-driven approaches, the team aims to enhance the airframe lifecycle, streamline structural analysis, and extract actionable insights from historical and operational data.\nRole:\nThe candidate will act as a Data Scientist / Machine Learning Engineer focusing on Airframe-related applications with the task to provide safe, robust, and balanced data-driven/hybrid design solutions. She/He will play a key role in developing and deploying advanced AI solutions that augment and accelerate structural engineering.\nKey activities include:\nDeveloping Surrogate Models to accelerate structural simulations.\n\nImplementing Hybrid Modelling (physics + data) and Scientific Machine Learning techniques.\n\nExploring and applying Large Language Models (LLMs) to assist in Finite Element Analysis (FEA) workflows.\n\nUtilizing Computer Vision and AI techniques for automated CAD/mesh quality inspection.\n\nEngaging in data engineering and knowledge graph creation from unstructured legacy documents to preserve and utilize engineering know-how.\n\nEnsuring rigorous Verification, Validation, and Uncertainty Quantification (VVUQ) of AI/ML solutions deployed within the Airframe perimeter.\n\nTechnical Skills\nKey Skills \nMachine learning and Deep learning code development and deployment\n\nExpertise in Surrogate Modelling, Hybrid Modelling (physics + data), and Scientific Machine Learning\n\nExperience in Computer Vision (e.g., for CAD/mesh inspection), Natural Language Processing & Generative AI (Knowledge Graph creation, Semantic reasoning, unstructured data extraction etc.)\n\nSolid background in Verification, Validation, and Uncertainty Quantification (VVUQ) for AI/ML models\n\nApplication development in environments like AWS, GCP, Skywise and on-prem platforms.\n\nData-driven decision science\n\nGood to have (not mandatory) \nBasic understanding of Structural Engineering, Finite Element Analysis (FEA), and Aerospace/Aviation\n\nBasic Knowledge of Generative Artificial Intelligence, LLMs for engineering applications, and state-of-the-art modeling techniques\n\nBasic Knowledge on Large Language Model development, deployment, and monitoring\n\nExposure to Software development, testing, verification, and integration\n\nPreferred Language:Python, Julia, C#, JavaScript\nData Science Frameworks:Scikit-Learn, Keras, Tensorflow, Pytorch, Langchain, FEniCS etc.\nEnvironments:AWS, GCP or similar platforms.\nSoft Skills: \nStrong leadership, project management, and stakeholder management skills\n\nExcellent communication skills, with the ability to translate complex mathematical concepts into business value\n\nStrategic thinking with a focus on product scaling and industrialization\n\nSolutions-oriented mindset with an emphasis on user adoption and delivering business impact\n\nTeamwork and excellent communication skills\n\nWillingness to learn new skills, self-development and Problem-solving orientation\n\nFail-fast mindset and Solutions approach\n\nQualification: Completed Bachelors or Masters degree in Aerospace, Mechanical, Thermal or Data Science related streams with minimum of 5+ years of Data Science related experience..\nJob Location: Bangalore\nThis job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.\nCompany:\nAirbus India Private LimitedEmployment Type:\nPermanent-------\nExperience Level:\nProfessionalJob Family:\nStructure Design & Integration By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.\nAirbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.\nAirbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to .\nAt Airbus, we support you to work, connect and collaborate more easily and flexibly. 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