MLOps Engineer

Overview

Airbus is hiring a MLOps Engineer (0–2 years) to develop, maintain, and scale a centralized ModelOps platform and its MLOps deployment pipelines.

What you'll do

• Develop and maintain serverless microservices and RESTful APIs for model inference and platform operations.
• Build, configure, and maintain CI/CD pipelines with infrastructure-as-code to automate testing and deployment.
• Create MLOps deployment pipelines for traditional ML and Generative AI models.
• Leverage AWS AI/ML services to deploy, monitor, and manage ML model lifecycles.
• Set up observability for model drift, inference latency, and performance metrics.
• Automate operational workflows and build serverless internal tooling.

What you'll need

• 0–2 years of hands-on experience in Software Engineering, DevOps, MLOps, and Cloud.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related quantitative field.
• Strong proficiency in Python and hands-on experience with FastAPI.
• Basic knowledge of Vue.js (or similar modern JavaScript frameworks).
• Solid understanding of core AWS services including Lambda, S3, Sagemaker, Bedrock, IAM, ECS, and API Gateway.
• Hands-on experience with AWS CDK for infrastructure-as-code.
• Experience creating and managing Docker containers and configuring deployment pipelines (e.g., GitHub Actions, GitLab CI/CD, or Jenkins).

Details

• Location: Bangalore Area.
• Employment type: Permanent.