Job Description:
AI/ML Engineer - Methods & Tools
Team: Airbus India - Engineering Methods & Tools
About the team:
We are a transverse team working with different core engineering verticals in Airbus. The USP of this team is working in a multi-functional environment providing digital solutions to engineering problems. The team is composed of people with Core Engineering domain knowledge complemented by software development skills. The team plays an enabler role in various digitization initiatives across Airbus utilizing the latest technologies and the domain knowledge they have.
Some examples of the digital solutions are Data driven designs of wiring, Automated routing electrical harnesses, Data Analytics based products aimed at reducing physical tests of material specimens. We are also involved in developing web-based solutions to encapsulate and automate different workflows such as flight test planning, business management etc. Some of the tools developed are used in the areas of Aircraft Safety analysis and Engineering Business Data monitoring etc.
We work in Agile/Scrum/SAFe processes in developing state of the art digital products for the areas mentioned above.
The Role: What You’ll DoAs an AI/ML Engineer, you will bridge the gap between data science and software engineering. You will own the lifecycle of machine learning models from conceptualization to production deployment and monitoring.
Design & Build: Develop, optimize, and deploy scalable ML/DL models (including computer vision, NLP, or LLMs).
Scale & Deploy: Architect robust ML pipelines (MLOps) to automate model training, testing, and deployment.
Collaborate: Work closely with Data Scientists and Product Managers to integrate AI capabilities into our core platform.
Optimize: Fine-tune models for latency, throughput, and resource utilization in a cloud or edge environment.
Innovate: Stay at the forefront of AI research and evaluate how new technologies/methodologies can be applied to our product roadmap.
Experience: 3+ years of professional experience as an ML Engineer, Data Scientist, or Software Engineer with focus on AI.
Education: BTech/MTech/PhD in Computer Science, Data Science, Mathematics, or a related quantitative field (or equivalent practical experience).
Programming Power: Strong proficiency in Python (and/or Go) with clean, production-grade coding standards.
ML Stack: Good expertise with frameworks like PyTorch, TensorFlow/Keras and libraries like Scikit-Learn, Pandas, and NumPy.
Computer Vision: Solid understanding of CV techniques and frameworks. Experience with object detection, image segmentation, or image classification using tools like OpenCV, YOLO, or Hugging Face vision models.
Data Engineering: Experience with Data engineering and orchestration tools (MLFlow, DVC, Spark, Kafka) or Data Platforms (Snowflake/Foundry).
LLMs (Optional but preferred): LangChain, LlamaIndex, vector databases, experience with RAGs and fine-tuning open-source LLMs.
Cloud (Optional but preferred): Hands-on experience with cloud platforms (AWS, GCP, or Azure).
Knowledge Graphs: Ability to design, build, and query Knowledge Graphs. Familiarity with graph technologies, ontologies, and graph databases (e.g., Neo4j, AWS Neptune, NetworkX, or Graph Neural Networks).
A strong portfolio of GitHub projects or contributions to open-source AI/ML libraries.
Experience with model deployment (ONNX, TensorRT)
Soft Skills
Very good communication and presentation skills
Ability to demonstrate effectiveness in holding conversations with customers in a customer-centric outreach.
Demonstrate ability to work as a team in a highly collaborative and cross-cultural environment.
Why Join Us?
You will work at the exciting intersection of code and the physical world. Your work won't just live in a database—it will directly influence how real-world aerospace systems are designed, simulated, and built. We offer a collaborative environment, cutting-edge projects, and ample opportunities for professional growth.
Job Disclaimer & Notifications:
We bring to the notice of all concerned that Airbus Group India Pvt. Ltd (hereinafter referred to as "AIG") follows a fair and merit-based employee selection and recruitment practice.
Airbus Group India does not:
● Send job offers from free email services including but not limited to Gmail, Rediffmail, Yahoo mail, Hotmail and others
● Authorize anyone to either collect money or arrive at any monetary arrangement in return for a job at AIG
● Charge / accept any form of consideration or security deposit from job seekers and applicants during any stage of the selection and/ or recruitment process
● Request for your credit card number or bank account number
It has come to our attention that fake job offers under the aegis of Airbus India or Airbus Group India Pvt. Ltd. have been circulated by unauthorized personnel. On receipt of an interview call for any job at AIG, the candidate may take some measures such as visiting the official website or career site of Airbus to get the contact details to enquire with the Human Resources department of Airbus India regarding such jobs and/or the interview details and any other relevant information
For further information on Airbus India Careers, please click here. Please check www.airbus.com to get the contact details and enquire with the company to confirm if any information that you have received are genuine; do not respond to any fraudulent communication. AIG will not be responsible to anyone acting on an employment offer not directly made by Airbus Group India Pvt Ltd. anyone making an employment offer in return for money or other type of gain is not authorized by AIG and is not offering an approved job. AIG reserves the right to take legal action, including criminal action, against such individuals/entities
**Airbus is proud to be an equal opportunity employer and is committed to creating an inclusive and diverse work environment. AGI selects job applicants (internal and external) on the basis of suitability for the job, and irrespective of gender, marital status, age, sexual orientation, gender identity or expression, nationality, religion, ethnicity or differently abled/ (dis)ability.
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:
DigitalBy 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 [email protected].
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 Required
- 3+ years professional experience as an ML Engineer, Data Scientist, or Software Engineer focused on AI
- BTech/MTech/PhD in Computer Science, Data Science, Mathematics, or related quantitative field (or equivalent experience)
- Proficiency in Python (and/or Go) with production-grade coding standards
- Experience with ML frameworks and libraries: PyTorch, TensorFlow/Keras, Scikit-Learn, Pandas, NumPy
- Computer vision expertise: object detection, image segmentation, image classification (OpenCV, YOLO, Hugging Face vision models)
- Experience with data engineering and orchestration tools: MLflow, DVC, Spark, Kafka or data platforms like Snowflake/Foundry
- Ability to design, build, and query knowledge graphs; familiarity with Neo4j, AWS Neptune, NetworkX, or Graph Neural Networks
- Experience with LLM toolkits and pipelines: LangChain, LlamaIndex, vector databases, RAGs, fine-tuning open-source LLMs
- Hands-on experience with cloud platforms (AWS, GCP, or Azure)
- Model deployment experience (ONNX, TensorRT)
- Strong communication and presentation skills; ability to work collaboratively and engage with customers
- Portfolio of GitHub projects or contributions to open-source AI/ML libraries
Airbus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbus and has not been reviewed or approved by Airbus.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive in several locations, including medical, dental, and vision options available from day one in the U.S. Access to life insurance, disability coverage, and employee assistance/wellbeing support adds breadth to the health offering.
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Retirement Support — Retirement support is framed as a meaningful part of the package through plans such as a 401(k) with company matching in the U.S. These programs strengthen long-term financial security beyond base wages.
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Leave & Time Off Breadth — Time-off provisions are described as generous in some settings, including vacation availability from day one and extended holiday coverage. Flexible working arrangements and hybrid options further increase the perceived value of time-related benefits.
Airbus Insights
What We Do
Airbus is a global leader in aeronautics, space and related services. In 2020, it generated revenues of €49.9 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world’s leading space companies. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Airbus is an international pioneer in the aerospace industry and a leader in designing, manufacturing and delivering aerospace products, services and solutions to customers on a global scale. We believe that it’s not just what we make, but how we make it that counts; promoting responsible, sustainable and inclusive business practices and acting with integrity. Our people work with passion and determination to make the world a more connected, safer and smarter place, on the ground, in the sky and in space.
