Description

Design, develop, and deploy production-ready AI and machine learning solutions using cloud-native AWS architecture.

This role is on-site.

Responsibilities

• Design and deploy end-to-end backend solutions for AI, ML, and intelligent automation use cases.
• Build serverless applications using AWS Lambda, DynamoDB, OpenSearch, Neptune, Bedrock, and SageMaker.
• Develop APIs and workflow automation to enable AI-powered functionality in production.
• Create scalable data processing logic for model inference, retrieval, search, and decision support.
• Partner with stakeholders to translate business requirements into secure, maintainable technical designs.

Required Skills

• Bachelor's degree in Computer Science, Engineering, Data Science, or Information Systems.
• Minimum 3 years of experience in software engineering, AI engineering, or ML engineering.
• Proven experience building and deploying production applications in cloud environments.
• Strong proficiency in AWS services: Lambda, DynamoDB, OpenSearch, Neptune, Bedrock, SageMaker.
• Experience developing backend services and integrating AWS-native services.
• Ability to design scalable data processing and application logic.

Preferred Skills

• Master's degree in a related field.
• Prior experience supporting AI/ML solutions or intelligent automation initiatives.

Key Skills

Education

Not specified