{"id":"d2be7d3b-4857-425d-9ba1-682c9f177037","company":{"id":"c836689c-6a3f-11f0-addb-0a892d3d843c","company_stack":[],"company_gallery":[],"company_stats":[],"company_about_section":null,"company_benefit_section":[],"company_testimonial_section":[],"company_culture_section":[],"onboarding_process":null,"ticker_logos":[],"gtn_companies":[],"role_category":[],"cta_color":"#333333","name":"Airbus","short_name":"AIR","slug":"airbus","description":"Airbus SE is a European aerospace corporation. The company's primary business is the design and manufacturing of commercial aircraft but it also has separate defence and space and helicopter divisions.","short_description":"<p>Airbus SE is a European aerospace corporation. The company&#39;s primary business is the design and manufacturing of commercial aircraft but it also has separate defence and space and helicopter divisions.</p>","about_us":"Airbus SE is a European aerospace corporation. 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Lead - Airbus Innovation Centre</p><br/><h3> Job Summary:</h3><br/><p> Airbus Innovation Centre India &amp; South Asia (AIC) is one of the only three innovation centres for Airbus outside the European Union. AIC collaborates with a number of stakeholders both internal and external to develop innovative and bleeding edge products with a particular focus on digital and AI topics. We are seeking an experienced and highly skilled AI Lead to lead our team of data scientists and data analysts in the development of cutting-edge AI products within the aviation field. The ideal candidate should possess a minimum of 10 years of hands-on experience working with Large Language Models (LLM), Computer Vision, and various open-source machine learning models. A strong foundation in system engineering is essential. 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Apply a deep understanding of system engineering principles to ensure AI solutions integrate seamlessly within aviation systems and adhere to safety and regulatory standards. </li> <br/> <li>  Mentor and guide team members, fostering a culture of continuous learning and technical excellence. </li> <br/> <li>  Stay up-to-date with the latest advancements in AI and machine learning, and identify opportunities to apply emerging technologies to enhance our products and services. </li> <br/> <li>  Collaborate with stakeholders to communicate project progress, technical insights, and potential risks in a clear and concise manner. </li> <br/></ul><br/><h3> Requirements:</h3><br/><ul> <br/> <li>  12+ years experience in software engineering with a minimum of 7+ years of hands-on experience in the field of AI, with a strong focus on LLM, Computer Vision, and open-source machine learning models. </li> <br/> <li>  Proven track record of leading and managing teams in the successful development and deployment of AI products. </li> <br/> <li>  In-depth knowledge of system engineering principles, with the ability to apply them to complex projects within the aviation domain. </li> <br/> <li>  Extensive experience in designing, training, and optimizing AI models using a variety of machine learning techniques and frameworks. </li> <br/> <li>  Strong programming skills in languages such as Python, and proficiency in relevant libraries and tools (e.g., SageMaker, TensorFlow, PyTorch, scikit-learn). </li> <br/> <li>  Excellent problem-solving abilities, critical thinking, and a data-driven approach to decision-making. </li> <br/> <li>  Effective communication skills to collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders. </li> <br/> <li>  Proven ability to stay updated with the latest advancements in AI and machine learning research. </li> <br/> <li>  A master's or doctoral degree in a relevant field (e.g., Computer Science, Electrical 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