Description

You will build and maintain scalable AI-enabled applications within AWS native environments. You own the full lifecycle of microservices architectures for AI products, from development to deployment.

Responsibilities

• Build, deploy, and integrate microservices architectures for AI products.
• Develop efficient and maintainable code using Python.
• Design, test, and troubleshoot cloud-native AI applications.
• Apply existing AI models and services to enhance product functionality.
• Collaborate with product and engineering teams to embed AI features into offerings.

Required Skills

• 4+ years of professional experience in Python development.
• Extensive experience with AWS services including Lambda, S3, EC2, SageMaker, and DynamoDB.
• Hands-on experience deploying and managing AI-powered applications in cloud ecosystems.
• Strong understanding of microservices architecture and cloud-native development.
• Proven ability to integrate existing AI models into production products.
• Any Graduate degree.

Preferred Skills

• Knowledge of AI/ML concepts and frameworks.
• Experience with DevOps and CI/CD pipelines.
• Familiarity with containerization technologies like Docker or Kubernetes.

Key Skills

Education

Any Graduate