Description

You will build scalable AI-driven applications with a primary focus on backend development and model integration.

Responsibilities

• Build backend services and microservices architectures using Java and Spring Boot.
• Manage model training, deployment, and inference using AWS SageMaker.
• Collaborate with Data Scientists and ML Engineers to integrate models into production systems.
• Develop and maintain RESTful APIs optimized for AI workflows.
• Implement CI/CD pipelines, logging, and monitoring for AI applications on AWS.

Required Skills

• 10+ years of professional experience.
• Expertise in Java and Spring Boot.
• Hands-on experience with AWS SageMaker.
• Proficiency in microservices architecture.
• Experience developing RESTful APIs.
• Strong skills in AWS cloud environments.
• Ability to work closely with Data Scientists.
• Proven problem-solving capabilities.

Preferred Skills

• Experience with Docker and container orchestration.
• Knowledge of AWS Bedrock or generative AI platforms.

Key Skills

Education

Any Gradute