Airbus Recruitment 2026 | MLOps Engineer | Bangalore
Airbus Off Campus Drive 2026 : Job Overview
Airbus Off Campus Drive 2026 | Freshers | MLOps Engineer | B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc | 2026 / 2025 / 2024 Batch | Bangalore. Visit our OffCampusDrive.co.in site for Off Campus Drive, Off Campus Placement, Internships, Pool Campus Drive, Joint Campus Drive, Walk-in Interview.
Job Role
The MLOps Engineer will focus on designing, building, and scaling a centralized ModelOps platform to support both traditional Machine Learning models and cutting-edge Generative AI workloads across cloud infrastructure.
Required Skills
- Proficient in Python programming for writing clean code, building APIs, and automating workflows.
- Hands-on experience in building performant RESTful web APIs using FastAPI.
- Fundamental understanding of frontend frameworks such as JavaScript or Vue.js.
- Knowledge of core Amazon Web Services (AWS) like Lambda, S3, SageMaker, Bedrock, IAM, ECS, and API Gateway.
- Experience using AWS CDK for defining infrastructure using Infrastructure-as-Code (IaC) principles.
- Practical familiarity with containerization techniques using Docker.
- Experience in using Git-based platforms like GitHub and GitLab for version control and collaboration.
- Ability to design and set up CI/CD automation pipelines for continuous integration and delivery.
- Hands-on experience or understanding of relational (PostgreSQL) and NoSQL (DynamoDB) databases.
Job Responsibilities
- Design, build, and maintain scalable serverless microservices and RESTful APIs for model inference and platform management.
- Ensure high availability, performance, and day-to-day operational stability of the internal AI and MLOps infrastructure.
- Develop, configure, and maintain robust CI/CD pipelines using GitHub or GitLab to automate software and model releases.
- Utilize Infrastructure-as-Code (AWS CDK) to deploy cloud resources programmatically and prevent downtime.
- Deploy and manage both traditional Machine Learning models and Generative AI foundational models using AWS services.
- Set up continuous monitoring and observability tools to track model drift, inference latency, and system performance metrics.
- Develop production-grade Python services, automate manual deployment tasks, and continuously optimize platform features.
| Field | Details |
|---|---|
| Company Name | Airbus |
| Employment Type | Full Time |
| Job Title | MLOps Engineer |
| Job Category | Off Campus |
| Location | Bangalore |
| Education | B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc |
| Batch | 2026, 2025, 2024 |
| Experience | 0–2 Years |
| Salary / CTC | Best in Industry |
| Last Date | ASAP |
How To Apply Airbus Off Campus Drive?
Interested and eligible candidates must complete the job Application form as soon as possible using the official link provided below.
How to Apply?
- Click on the Apply Online button provided above to navigate directly to the official recruitment portal page.
- Read the official job overview, detailed requirements, eligibility criteria, and key responsibilities carefully.
- Locate and click on the "Apply" or "Apply Now" button on the official careers page.
- Create a new account on the portal if you are a first-time user, or log in with your existing account credentials.
- Fill in all required fields accurately, including personal details, contact information, and educational credentials.
- Upload an updated resume highlighting relevant projects, Python/FastAPI knowledge, and cloud/MLOps expertise before submitting the application.
Frequently Asked Questions
1. What is the qualification required for Airbus MLOps Engineer?
Candidates must hold a Bachelor's or Master's degree in Computer Science, Software Engineering, IT, Data Science, or a related field (B.E, B.Tech, B.Sc, M.E, M.Tech, M.Sc).
2. Is this Airbus recruitment open for freshers?
Yes, fresh graduates with 0–2 years of experience having strong hands-on project or internship experience in MLOps, AWS, Python, and Docker can apply.
3. What is the job location for this role?
The job location for the MLOps Engineer position at Airbus is Bangalore, India.
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