Airbus is hiring fresher’s and experienced candidates for the role of MLOps Engineer. The complete details about role are as follows.

Airbus Recruitment For MLOps Engineer

Company : Airbus

Role : MLOps Engineer

Degree : Any Bachelor degree/B.E./B.Tech

Batches : 2026,2025,2024,2023,2022,2021

Experience : 0 – 2 Year’s

Salary : 3 – 7 LPA (Expected)

Location: Bangalore, India

Job Description:

Airbus is hiring MLOps Engineers for its Advanced Analytics and Artificial Intelligence team 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 strong academic projects, internships or practical experience in these areas can also apply.

Qualifications & Skills :

Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related quantitative field.
Experience: 0–2 years of hands-on experience in Software Engineering, DevOps, MLOps, and Cloud. Fresh graduates with strong project experience or internships in these areas are welcome to apply.
AWS or GCP Cloud certifications (e.g., AWS Certified Cloud Practitioner / Developer, GCP Associate Cloud Engineer).
Active GitHub profile, Kaggle participation, or personal projects demonstrating end-to-end full-stack or computer vision implementations.
AWS services like SageMaker and Step Functions.

Roles and Responsibilities :

Platform Operations & APIs: Design, build, and maintain high-performance, serverless microservices and RESTful APIs for model inference and platform operations. Ensure high availability, reliability, and smooth day-to-day operations.
CI/CD & Pipeline Automation: Build, configure, and maintain robust CI/CD pipelines (leveraging platforms like GitHub and GitLab) using Infrastructure-as-Code to automate testing and deployment. Implement automated checks to prevent operational downtime.
MLOps & Model Management: Leverage native AWS AI/ML platforms to deploy, monitor, and manage the lifecycle of Machine Learning and Generative AI models. Set up basic observability for model drift, inference latency, and performance metrics.

Technical Requirements

Core Programming: Strong proficiency in Python and hands-on experience with FastAPI. Basic knowledge of Vue.js (or similar modern JavaScript frameworks).
Cloud & Infrastructure: Solid understanding of core AWS services (Lambda, S3, Sagemaker, Bedrock, IAM, ECS, API Gateway, etc.) and hands-on experience with AWS CDK for defining infrastructure as code.
DevOps & Containerization: Practical experience creating and managing Docker containers, utilizing version control systems (GitHub, GitLab), and configuring deployment pipelines (e.g., using GitHub Actions, GitLab CI/CD, or Jenkins).
Databases: Experience working with both relational (PostgreSQL) and NoSQL (AWS DynamoDB) databases.

Soft Skills & Behavioral Attributes

Fast Learning Curve: Demonstrated ability to quickly master new technologies, tools, and frameworks.
Adaptability & Agility: Willingness to wear multiple hats—building API one day and tweaking ML pipelines the next.
Problem-Solving Mindset: Strong logical reasoning, analytical skills, and attention to detail.
Communication: Clear written and verbal communication skills to articulate ideas effectively within a team environment.

How To Apply For Airbus Careers :

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About Airbus :

Airbus is a global aerospace company involved in commercial aircraft, helicopters, defence, space and related aviation technologies. The company also invests heavily in digital technologies, data and artificial intelligence to improve its products and operations. Its Bangalore operations include technology and engineering teams working across different areas of the Airbus business. This MLOps opportunity is part of its Advanced Analytics and Artificial Intelligence organization.