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Airbus

Manufacturer of commercial aircraft, helicopters, defense

Artificial Intelligence Lead

Computer Vision +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • 12+ years of experience in software engineering, including a minimum of 7+ years of hands-on experience in AI, with a strong focus on large language models, computer vision, and open-source machine learning models.
  • A proven track record of leading and managing teams in the successful development and deployment of AI products.
  • In-depth knowledge of system engineering principles and the ability to apply them to complex projects within the aviation domain.
  • Extensive experience designing, training, and optimizing AI models using a variety of machine learning techniques and frameworks.
  • Strong programming skills in Python and proficiency with relevant libraries and tools, such as SageMaker, TensorFlow, PyTorch, and scikit-learn.
  • A master's or doctoral degree in a relevant field, such as Computer Science, Electrical Engineering, or Aerospace Engineering, is preferred.
  • Awareness of potential compliance risks and a commitment to acting with integrity.

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 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 selecting, implementing, and optimizing machine learning models and techniques, focusing on large language models, computer vision, and open-source frameworks.
  • Drive development of AI models and algorithms to solve aviation challenges, including predictive maintenance, anomaly detection, and operational-process optimization.
  • Apply system engineering principles to integrate AI solutions into aviation systems and ensure adherence to safety and regulatory standards.
  • Mentor and guide team members, fostering continuous learning and technical excellence.
  • Stay current with advances in AI and machine learning and identify opportunities to apply emerging technologies to enhance products and services.
  • Communicate project progress, technical insights, and potential risks clearly to stakeholders and cross-functional teams.

About the Company

Airbus

Manufacturer of commercial aircraft, helicopters, defense

Airbus designs and manufactures a wide range of aerospace products, including commercial airplanes, helicopters, defense systems, and space technologies. Its aircraft and rotorcraft are built with integrated airframes, propulsion, avionics, and digital systems to carry passengers, cargo, or conduct military missions, while its space division covers satellites, orbital infrastructure, launch services, and secure communications. Airbus differentiates itself with an end-to-end portfolio across commercial, defense, and space, a global manufacturing and services network, and a focus on sustainability and digital transformation. Its goal is to enable global mobility and connectivity while reducing aviation’s environmental impact through sustainable aviation and collaborative innovation.

Company size
10,001+
Company stage
IPO
Headquarters
Blagnac, France
Founded
1970

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