{"id":4339633,"url":"https://alion.io/job/airbus-skywise-engineer","title":"Skywise Engineer","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":83,"open_postings":912,"ghost_share":0.005,"stale_share":0.672,"repost_share":0.018,"time_to_fill_p50_days":23,"computed_at":"2026-11-15T07:52:55Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":"full_time","work_mode":"on_site","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":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-15T17:34:46Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T17:34:46Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description:\nDescription\nWe are seeking an experienced and highly analytical Data & AI Specialist to join our team. In this role, you will be instrumental in designing, building, and operationalizing machine learning models and scalable data architectures. Beyond technical execution, this role requires exceptional stakeholder management and communication skills to bridge the gap between complex AI capabilities and strategic business objectives. You will partner with cross-functional leaders to identify opportunities where data and artificial intelligence can drive measurable value, optimize processes, and enhance our product offerings.\nJob Responsibilities\nDesign, develop, and deploy end-to-end Machine Learning and AI solutions (including traditional ML, deep learning, and Generative AI) to solve complex business problems.\nAct as the primary liaison between the Data/AI team and business units, translating non-technical business requirements into clearly defined data science problems.\nBuild and maintain robust, scalable data pipelines to extract, transform, and load (ETL) data from diverse sources.\nManage expectations, timelines, and deliverables with executive sponsors and project stakeholders.\nPresent complex analytical findings, model performance metrics, and strategic recommendations to non-technical audiences clearly and compellingly.\nLead cross-functional workshops and meetings to evangelize AI capabilities and identify new use cases across the organization.\nOptimize ML models for performance, scalability, and deployment in production environments (MLOps).\nCollaborate closely with software engineers, product managers, and data analysts to integrate AI features into enterprise applications.\nJob Qualifications\nExperience: 4 to 8 years of proven experience in Data Science, Data Engineering, AI/ML development, or a closely related field.\nEducation: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, or a related quantitative discipline.\n Technical Skills:Advanced proficiency in Python and SQL.\nStrong understanding of statistical modeling, predictive analytics, NLP, and deep learning (TensorFlow, PyTorch, or Scikit-Learn).\nHands-on experience with cloud platforms (AWS, Google Cloud, or Azure) and big data technologies.\nExperience with model deployment, monitoring, and CI/CD pipelines (MLOps).\n\nCommunication Skills: Ability to articulate technical constraints, opportunities, and outcomes to business stakeholders in plain language.\nStakeholder Management: Proven track record of successfully navigating organizational dynamics, building consensus, and managing cross-functional projects.\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:\nDigital 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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