Artificial Intelligence Lead - Airbus India Innovation Centre
Airbus is hiring an Artificial Intelligence Lead - Airbus India Innovation Centre in Bengaluru, India. Level rates it ; you can apply on Airbus.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- The posting mentions PyTorch, TensorFlow and scikit-learn among its tools and skills.
- Level classes it as a lead role.
- Airbus has 2,700+ other open roles on Level.
AI in this role
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. 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:
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.
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.
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 LimitedEmployment Type:
Permanent-------
Experience Level:
ProfessionalJob 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.
How we rate this
Artificial Intelligence Lead - Airbus India Innovation Centre at Airbus rates 91 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Tell me about a research question you investigated. What did you find?
- What are the limits of PyTorch that you've run into, and how did you work around them?
- What's a project where you used TensorFlow hands-on?
- Walk me through how you've used scikit-learn in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Computer vision, AI Research, PyTorch, TensorFlow, and scikit-learn. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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