Airbus India Private Limited
aviation
ArtificialIntelligenceLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Artificial Intelligence Lead at Airbus India Private Limited. Skills: AI, LLM, Computer Vision, System Engineering. Lead and manage a team. design, develop, and deploy AI-driven solutions”
What You'll Achieve.
ensure successful project outcomes; ensure AI solutions integrate seamlessly within aviation systems; adhere to safety and regulatory standards
Industry & Context.
Excellent problem-solving abilities; critical thinking; a data-driven approach to decision-making
What They're Looking For.
Must Have
Minimum of 8+ years of hands-on experience in the field of AI, Proven track record of leading and managing teams in the successful development and deployment of AI products, In-depth knowledge of system engineering principles, Extensive experience in designing, training, and optimizing AI models, programming skills in languages such as Python, proficiency in relevant libraries and tools (e. g. , SageMaker, TensorFlow, PyTorch, scikit-learn), Excellent problem-solving abilities, critical thinking, a data-driven approach to decision-making, Effective communication skills, Proven ability to stay updated with the latest advancements in AI and machine learning research
Nice to Have
Familiarity with Model-Based Systems Engineering (MBSE) concepts, A master's or doctoral degree in a relevant field (e. g. , Computer Science, Electrical Engineering, Aerospace Engineering)
What You'll Do.
Lead and manage a team
and deploy AI-driven solutions
Collaborate with cross-functional teams
Provide technical expertise and leadership
Drive the development of AI models
Apply system engineering principles
Mentor and guide team members
Stay up-to-date with advancements
Collaborate with stakeholders
How You'll Work.
Team & Collaboration
Collaborate closely with cross-functional teams including engineers, domain experts, and product managers; Collaborate with stakeholders to communicate project progress, technical insights, and potential risks
Communication Scope
Effective communication skills to collaborate with cross-functional teams; convey technical concepts to non-technical stakeholders; Communicate project progress, technical insights, and potential risks in a clear and concise manner
Full Job Description
****Job Description:**** **_Job Title_**:****A.I. Lead - Airbus Innovation Centre**** ** _Job Summary:_** Airbus Innovation Centre India & 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, and familiarity with Model-Based Systems Engineering (MBSE) would be a significant advantage. The AI Lead will be responsible for guiding the team's technical direction, ensuring successful project outcomes, and driving innovation in the application of AI technologies. **_Responsibilities_** * Lead and manage a team of data scientists and data analysts to design, develop, and deploy AI-driven solutions for the aviation industry. * Collaborate closely with cross-functional teams including engineers, domain experts, and product managers to define project goals, scope, and technical requirements. * Provide technical expertise and leadership in the selection, implementation, and optimization of machine learning models and techniques, with a strong focus on LLM, Computer Vision, and open-source frameworks. * Drive the development of AI models and algorithms to solve complex aviation challenges, such as predictive maintenance, anomaly detection, and optimization of operational processes. * Apply a deep understanding of system engineering principles to ensure AI solutions integrate seamlessly within aviation systems and adhere to safety and regulat
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