About the role

Aplyr's Quick Take

This role is for an AI Lead who will manage a team of data scientists and analysts to develop AI solutions for the aviation industry. You'll be hands-on with machine learning models, particularly Large Language Models and Computer Vision, while collaborating with various teams to drive innovation and ensure project success.

Good fit

Ideal candidates have over 10 years of experience in AI, particularly with LLMs and Computer Vision, and possess strong leadership skills. A background in system engineering is crucial, and those who thrive in collaborative, fast-paced environments will do well.

Worth noting

This position is based in one of Airbus's few innovation centers outside Europe, which could offer unique exposure to cutting-edge projects. The emphasis on mentoring suggests a supportive culture, but the role's seniority may come with high expectations.

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 regulatory standards.
Mentor and guide team members, fostering a culture of continuous learning and technical excellence.
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.
Collaborate with stakeholders to communicate project progress, technical insights, and potential risks in a clear and concise manner.

Requirements:

Minimum of 8+ years of hands-on experience in the field of AI, with a strong focus on LLM, Computer Vision, and open-source machine learning models.
Proven track record of leading and managing teams in the successful development and deployment of AI products.
In-depth knowledge of system engineering principles, with the ability to apply them to complex projects within the aviation domain.
Familiarity with Model-Based Systems Engineering (MBSE) concepts is a significant advantage.
Extensive experience in designing, training, and optimizing AI models using a variety of machine learning techniques and frameworks.
Strong programming skills in languages such as Python, and proficiency in relevant libraries and tools (e.g., SageMaker, TensorFlow, PyTorch, scikit-learn).
Excellent problem-solving abilities, critical thinking, and a data-driven approach to decision-making.
Effective communication skills to collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders.
Proven ability to stay updated with the latest advancements in AI and machine learning research.
A master's or doctoral degree in a relevant field (e.g., Computer Science, Electrical Engineering, Aerospace Engineering) is preferred.

This 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.

Company:

Airbus India Private Limited

Employment Type:

Permanent

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Experience Level:

Professional

Job Family:

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.
Airbus 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.

Airbus 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 emsom@airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Skills & Tags

Aplyr's read

Airbus is a pioneering force in aerospace and defense, attracting professionals passionate about cutting-edge technology and global impact.
Synthesized from recent postings & public sources

What's promising

•Airbus leads in sustainable aviation, investing heavily in eco-friendly aircraft technology.
•The company offers diverse roles, from AI management to cybersecurity, appealing to tech enthusiasts.
•Global presence provides employees with opportunities for international collaboration and career growth.

What to watch

•The aerospace industry faces cyclical demand, impacting job stability during downturns.
•Complex global supply chains can lead to project delays and operational challenges.
•Regulatory scrutiny in defense sectors may affect project timelines and innovation pace.

Why Airbus

•Airbus's commitment to sustainable aviation sets it apart in the aerospace sector.
•Its diverse product range includes commercial aircraft, helicopters, and satellites.
•The company's emphasis on digital transformation offers cutting-edge tech roles.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Airbus

Airbus

airbus.com

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Airbus is a global leader in aerospace and defense, designing, manufacturing, and delivering industry-defining commercial aircraft, helicopters, military transports, satellites, and launch vehicles.