AI/ML Engineer - Methods & Tools

Prestwick Aerosystems; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Airbus India Private Limited is hiring an AI/ML Engineer for the Methods & Tools team. You will design, build and deploy scalable ML/DL models, and work with data scientists and product managers to integrate AI into our core platform.

The role emphasizes MLOps pipelines, model training and deployment, with exposure to CV, NLP and LLM technologies. Strong programming in Python (and Go) and cloud experience are highly valued.

Qualifications

• 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: Design, build, and query Knowledge Graphs. Familiarity with graph technologies, ontologies, and graph databases (e.g., Neo4j, AWS Neptune, NetworkX, or Graph Neural Networks).
• Bonus Points: GitHub portfolio or contributions to open-source AI/ML libraries. Experience with model deployment (ONNX, TensorRT).
• Soft Skills: Strong communication and presentation skills; ability to engage with customers and work in a cross-cultural, collaborative team.

Responsibilities

• 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.

Skills

Python

Go

PyTorch

TensorFlow

Keras

Scikit-Learn

Pandas

NumPy

OpenCV

YOLO

HuggingFace

MLFlow

DVC

Spark

Kafka

Snowflake

Foundry

LangChain

LlamaIndex

Vector DB

RAGs

Fine-tuning LLMs

AWS

GCP

Azure

Neo4j

GraphNN

ONNX

TensorRT

CV Techniques

Image Classification

GitHub Portfolio

Education

BTech/MTech/PhD CS

Data Science

Tools

AWS

GCP

Azure

MLFlow

DVC

Spark

Kafka

Snowflake

Foundry

Neo4j

GraphNN

ONNX

TensorRT

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:

• 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.

What We’re Looking For (Requirements)

• 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).
• Bonus Points If You Have 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-centrict 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.

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 Limited Employment Type: Permanent

Experience Level: Professional

Job Family: Digital

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