Airbus Off Campus Drive 2026 | MLOps Engineer | Bangalore

1) Job Summary

Company: Airbus India Private Limited
Job Role: MLOps Engineer
Job Requisition ID: JR10442960
Location: Bangalore Area, India
Job Type: Full Time
Employment Type: Permanent
Experience Level: Entry Level
Experience Required: 0–2 years
Job Family: Digital
Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related quantitative field.

The position involves working with technologies such as Python, FastAPI, AWS, Docker, GitHub/GitLab, CI/CD, Infrastructure-as-Code, PostgreSQL, DynamoDB and machine learning platforms.

The official listing does not disclose a salary figure, so candidates should verify compensation directly with Airbus during the recruitment process.

2) Job Description

As an MLOps Engineer, you will work with the Advanced Analytics and Artificial Intelligence team to help develop and operate Airbus’s centralized ModelOps platform.

The role sits at the intersection of software engineering, DevOps and Machine Learning operations. You may work on building serverless microservices and RESTful APIs for model inference and platform operations while helping maintain the reliability and availability of the platform.

A significant part of the role involves CI/CD and pipeline automation. Candidates may work with GitHub or GitLab, Infrastructure-as-Code and automated testing and deployment processes.

The role also involves using native AWS AI/ML services to deploy, monitor and manage Machine Learning and Generative AI models. Model observability is another important area, including monitoring indicators such as model drift, inference latency and performance metrics.

Depending on the assigned responsibilities, candidates may also work with:

• Python and FastAPI
• Vue.js or similar JavaScript frameworks
• AWS Lambda and S3
• AWS SageMaker and Bedrock
• AWS IAM, ECS and API Gateway
• AWS CDK
• Docker
• GitHub, GitLab and CI/CD tools
• PostgreSQL and DynamoDB
• Machine Learning and Generative AI workflows

3) Eligibility Criteria

According to the official Airbus listing, candidates should have a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Data Science or a related quantitative field.

The required experience level is 0–2 years of hands-on experience in software engineering, DevOps, MLOps and cloud. Airbus specifically notes that fresh graduates with strong project experience or relevant internships can apply.

Candidates should ideally have:

• Strong Python programming skills.
• Hands-on experience with FastAPI.
• Understanding of AWS cloud services.
• Knowledge of Docker and containerization.
• Familiarity with GitHub or GitLab.
• Understanding of CI/CD concepts.
• Exposure to Infrastructure-as-Code.
• Knowledge of relational and NoSQL databases.
• Interest in Machine Learning and Generative AI.
• Strong analytical and problem-solving ability.
• Good written and verbal communication skills.

Who Should Apply?

This role may be suitable for:

• Fresh graduates with relevant technical projects.
• Candidates with 0–2 years of software, DevOps, cloud or MLOps experience.
• Students or graduates who have built ML deployment projects.
• Python developers interested in MLOps.
• Candidates with AWS and Docker project experience.
• Developers interested in AI infrastructure and Generative AI.
• Candidates with GitHub portfolios demonstrating practical work.

Airbus also lists AWS/GCP certifications, active GitHub profiles, Kaggle participation and end-to-end projects as potential advantages.

Who May Not Be a Good Fit?

The position may not be suitable for candidates who do not meet the stated educational requirements or who have little interest in software engineering, cloud infrastructure, DevOps or Machine Learning operations.

Candidates who have only theoretical knowledge and cannot demonstrate any relevant programming, cloud, ML or software development work may also need additional preparation before applying.

These are practical considerations, not additional requirements imposed by Airbus.

4) What Should Be Highlighted in the Resume?

Your resume should focus on demonstrable technical skills and projects that relate directly to the position.

Highlight:

• Python projects.
• FastAPI or REST API development.
• AWS projects.
• Docker/containerization.
• CI/CD pipelines.
• GitHub/GitLab experience.
• Infrastructure-as-Code projects.
• Machine Learning deployment.
• Model monitoring or observability.
• PostgreSQL or DynamoDB.
• Generative AI projects.
• Cloud certifications.
• Kaggle participation.
• Relevant internships.
• GitHub repositories.

For projects, explain your specific contribution instead of simply listing technologies. For example, describe how you developed an ML API, containerized it using Docker, deployed it on AWS, configured a CI/CD pipeline, and monitored its performance.

5) What Candidates Should Expect During Recruitment Process? (Selection Process)

Airbus states that candidates first search and apply online through its careers portal. If an application attracts the company’s attention, candidates may be invited to interviews, either online or on-site, to meet the future manager and discuss their career ambitions. Airbus states that successful candidates are subsequently contacted regarding the job offer.

The exact number and format of technical assessments or interview rounds for JR10442960 are not specified in the official listing. Therefore, candidates should not assume that a particular number of rounds is guaranteed.

For preparation, candidates should be ready to discuss:

• Python fundamentals.
• REST APIs and FastAPI.
• AWS services.
• Docker.
• Git and CI/CD.
• Machine Learning deployment.
• Model monitoring.
• Databases.
• Cloud architecture basics.
• Projects mentioned on the resume.

6) About the Company

Airbus is a global aerospace company with activities spanning commercial aircraft, helicopters, defence and space. Airbus has maintained a substantial presence in India for decades and describes India as an important resource hub for technology, engineering, research and development.

Airbus India recruits across areas including engineering, IT, customer service and research and development. The company also highlights training and mentoring, flexible working arrangements where possible, and an inclusive workplace as aspects of working at Airbus India.

For this position, candidates would be joining Airbus India Private Limited within its Digital job family and Advanced Analytics and Artificial Intelligence organization.

7) Why Join This Company?

For candidates interested in AI and software engineering, this position provides exposure to technologies used in modern production-oriented AI environments.

The role brings together several areas, including:

• Machine Learning operations.
• Generative AI.
• Cloud computing.
• Serverless technologies.
• REST APIs.
• CI/CD.
• Infrastructure-as-Code.
• Containerization.
• Model monitoring.
• Database technologies.

Airbus also states that it invests in employee development through career development programs and training and mentoring opportunities.

For an early-career candidate, the combination of software engineering, cloud and AI infrastructure can provide exposure to multiple aspects of the machine learning lifecycle.

8) Frequently Asked Questions (FAQ)

Is Airbus hiring MLOps Engineers in Bangalore?

Yes. Airbus currently lists an MLOps Engineer position in the Bangalore Area under requisition JR10442960.

Can freshers apply?

Yes. The position specifies 0–2 years of experience, and the official listing states that fresh graduates with strong project experience or relevant internships are welcome to apply.

What educational qualification is required?

A Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Data Science or a related quantitative field is specified.

What are the important technical skills?

Python, FastAPI, AWS, Docker, GitHub/GitLab, CI/CD, Infrastructure-as-Code, PostgreSQL, DynamoDB and Machine Learning operations are among the key areas mentioned in the listing.

Is AWS knowledge required?

AWS knowledge is an important part of the technical requirements. The listing mentions services including Lambda, S3, SageMaker, Bedrock, IAM, ECS and API Gateway, along with AWS CDK.

Is salary information available?

The official Airbus listing does not specify a salary figure for this position. Candidates should confirm compensation details directly with Airbus during the recruitment process.

How can I apply?

Candidates should apply through the official Airbus careers portal and review the requirements before submitting their application.

Official application: Airbus MLOps Engineer – JR10442960

Is there any application fee?

No. Airbus states that it never asks candidates for monetary payment during its recruitment process. The company also advises candidates to use its official careers website and be alert to recruitment scams.

Final Application Note

Candidates should review the official job listing carefully before applying because job requirements and availability can change. Use the official Airbus careers portal for the application and provide accurate information about your education, experience and technical skills.

Airbus also advises candidates to be cautious of recruitment fraud. Official Airbus recruiters use corporate @airbus.com email addresses, and the company states that it does not request upfront payment for interviews, background checks, visa processing, training or equipment.

How to Apply?

• Interested candidates meeting the eligibility criteria have to apply at the following link:

Apply Online

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