2 days ago
Bengaluru, IndiaEntry Level
Responsibilities
- Design, build, and maintain serverless microservices and APIs for model inference and ModelOps platform operations.
- Build and maintain CI/CD pipelines using GitHub, GitLab, or Jenkins and infrastructure-as-code to automate testing and deployment.
- Deploy, monitor, and manage traditional machine learning and generative AI models using AWS AI/ML platforms.
- Implement observability for model drift, inference latency, and performance metrics.
- Automate operational workflows and build serverless internal tooling for the ModelOps platform.
- Collaborate with senior engineers while independently executing platform feature enhancements.
Requirements
- 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, and cloud technologies.
- Strong Python proficiency and hands-on FastAPI experience, plus basic Vue.js or similar JavaScript framework knowledge.
- Understanding of AWS services including Lambda, S3, SageMaker, Bedrock, IAM, ECS, and API Gateway, with hands-on AWS CDK experience.
- Experience creating and managing Docker containers, using GitHub or GitLab, and configuring pipelines with GitHub Actions, GitLab CI/CD, or Jenkins.
- Experience with PostgreSQL and AWS DynamoDB.
- AWS or GCP cloud certifications, an active GitHub profile, Kaggle participation, or end-to-end personal projects are advantageous.
- Experience with AWS SageMaker and Step Functions is a preferred qualification.
Benefits
- Permanent employment with Airbus India Private Limited.
- Flexible working arrangements are supported wherever possible to enable collaboration and innovative thinking.
- Airbus supports an inclusive, diverse, and equal-opportunity working environment.
Tech Stack
Amazon DynamoDBAWSDockerFastAPIGitHub ActionsGitLab CI/CDGoogle Cloud PlatformJavaScriptJenkinsPostgreSQLPythonVue.js