Airbus is hiring candidates for the MLOps Engineer role in Bangalore. This is an entry-level opportunity for candidates with 0–2 years of experience in software engineering, DevOps, MLOps, or cloud technologies. Fresh graduates with relevant projects or internships in these areas are also welcome to apply.
The role involves working with Airbus’s Advanced Analytics and Artificial Intelligence team to develop, maintain, and scale its centralized ModelOps platform. Selected candidates will work on MLOps deployment pipelines for Machine Learning and Generative AI models, cloud infrastructure, CI/CD automation, serverless tooling, and model lifecycle management.
Airbus Hiring 2026
| DetailsInformation | Information |
|---|---|
| Company | Airbus |
| Job Role | MLOps Engineer |
| Qualification | Bachelor’s / Master’s Degree |
| Experience | 0–2 Years |
| Freshers Eligible | Yes |
| Salary | ₹6 – ₹12 LPA (Expected) |
| Job Type | Full-Time, Permanent |
| Work Mode | As per Airbus requirements |
| Location | Bangalore, Karnataka |
| Employment Type | Permanent |
| Experience Level | Entry Level |
| Job Family | Digital |
| Job Requisition ID | JR10442960 |
Airbus MLOps Engineer Job Description
Airbus is looking for an MLOps Engineer to join its Advanced Analytics and Artificial Intelligence team. The selected candidate will contribute to the development, maintenance, and scaling of a centralized ModelOps platform.
The position combines software engineering, DevOps, cloud infrastructure, and Machine Learning operations. Candidates will work closely with senior engineers to enhance the ModelOps platform and develop deployment pipelines for both traditional Machine Learning and Generative AI models.
The role also provides opportunities to work with modern AWS AI/ML services, automate operational workflows, develop serverless internal tools, and support reliable AI infrastructure.
Roles and Responsibilities
- Design, build, and maintain high-performance serverless microservices.
- Develop and maintain RESTful APIs for model inference and platform operations.
- Help ensure high availability, reliability, and smooth platform operations.
- Build and maintain CI/CD pipelines using platforms such as GitHub and GitLab.
- Use Infrastructure-as-Code to automate testing and deployment processes.
- Implement automated checks to help prevent operational downtime.
- Deploy, monitor, and manage Machine Learning and Generative AI models.
- Work with native AWS AI/ML platforms for model lifecycle management.
- Set up observability for model drift, inference latency, and performance metrics.
- Automate operational workflows and platform processes.
- Work with senior engineers to implement feature enhancements.
- Develop serverless internal tooling for AI and ModelOps operations.
Qualifications & Skills
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related quantitative field.
- 0–2 years of hands-on experience in Software Engineering, DevOps, MLOps, or Cloud.
- Fresh graduates with strong projects or internships in relevant areas are welcome to apply.
- Strong proficiency in Python.
- Hands-on experience with FastAPI.
- Basic knowledge of Vue.js or similar modern JavaScript frameworks.
- Solid understanding of AWS services such as Lambda, S3, SageMaker, Bedrock, IAM, ECS, and API Gateway.
- Hands-on experience with AWS CDK for Infrastructure-as-Code.
- Practical experience creating and managing Docker containers.
- Knowledge of GitHub, GitLab, or other version control systems.
- Experience with CI/CD tools such as GitHub Actions, GitLab CI/CD, or Jenkins.
- Experience with PostgreSQL and AWS DynamoDB.
- Strong logical reasoning and analytical skills.
- Good attention to detail and problem-solving abilities.
- Clear written and verbal communication skills.
- Ability to quickly learn new technologies, tools, and frameworks.
- Ability to adapt to different responsibilities across APIs, cloud infrastructure, and ML pipelines.
Nice-to-Have Skills
- AWS or GCP cloud certifications such as AWS Certified Cloud Practitioner, AWS Certified Developer, or GCP Associate Cloud Engineer.
- Active GitHub profile.
- Participation in Kaggle or similar technical platforms.
- Personal projects demonstrating end-to-end full-stack or computer vision implementations.
- Experience with AWS SageMaker.
- Knowledge of AWS Step Functions.
- Additional experience with Machine Learning or Generative AI platforms.
Work Environment
This is a full-time, permanent, entry-level opportunity based in Bangalore. The role is part of Airbus India Private Limited’s Digital job family.
Airbus supports flexible working arrangements where possible to help employees work, connect, and collaborate effectively. The position involves working closely with senior engineers and collaborating across software engineering, DevOps, cloud, and AI/ML activities.
Salary Details
The expected salary for the Airbus MLOps Engineer role is approximately ₹6 LPA to ₹12 LPA.
This is an estimated salary range for an entry-level MLOps/Cloud engineering position and is not an officially disclosed Airbus compensation range. Actual compensation may vary depending on the candidate’s skills, experience, location, and applicable company policies.
How To Apply For Airbus MLOps Engineer
- Click on the Apply Here button provided below.
- Visit the official Airbus careers page.
- Search for MLOps Engineer or use Job Requisition ID JR10442960.
- Review the eligibility criteria and job requirements.
- Create an account or log in if required.
- Complete the application form with accurate information.
- Upload your updated resume and other required documents.
- Review all the information before submitting your application.
- Submit your application through the official Airbus careers portal.
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Important Note While Applying For Jobs
Candidates should carefully review the official Airbus job description and eligibility requirements before applying. Airbus states that candidates are not required to make any monetary payment during the recruitment process.
Applicants should use the official Airbus careers website when submitting their applications and should be cautious of anyone requesting money in connection with recruitment.
About Airbus
Airbus is a global aerospace company with operations across commercial aircraft, helicopters, defence, space, and related technologies. Airbus India works across engineering, technology, digital, research, and other business functions.
The Airbus Advanced Analytics and Artificial Intelligence team works on AI technologies designed to improve efficiency and quality across the company’s value chain. The team combines technology and business expertise to develop AI and data-driven solutions.
Final Summary
Airbus is hiring for an MLOps Engineer position in Bangalore with 0–2 years of experience. Fresh graduates with relevant projects or internships in software engineering, DevOps, MLOps, or cloud technologies are also welcome to apply.
The role focuses on MLOps, AWS cloud services, Python, FastAPI, Docker, CI/CD, Infrastructure-as-Code, Machine Learning, Generative AI, and ModelOps. The position is full-time, permanent, and entry level, with Job Requisition ID JR10442960.
The expected salary is approximately ₹6–₹12 LPA, while the official job posting does not disclose a specific compensation range. Candidates should verify the latest details on the official Airbus careers page before applying.
