Description

You will design and manage the infrastructure and workflows required to deploy and scale machine learning models.

Responsibilities

• Build and maintain CI/CD pipelines using GitHub Actions and AWS tools including CodePipeline and CodeBuild.
• Develop and scale high-concurrency, event-driven, and asynchronous systems.
• Implement and evaluate AI solutions involving Large Language Models (LLMs) and agentic workflows.
• Manage retrieval systems and microservices architectures via RESTful APIs.
• Orchestrate containerized workloads using EKS and Kubernetes.

Required Skills

• 3+ years of professional Python programming experience.
• Hands-on experience with AWS and Kubernetes (EKS) orchestration.
• Proven experience implementing retrieval systems such as OpenSearch.
• Experience developing high-concurrency systems and asynchronous programming.
• Solid understanding of microservices architecture and RESTful API development.
• Practical experience with CI/CD workflows using GitHub Actions.
• Familiarity with Large Language Models (LLMs) and agentic systems.
• Any Graduate degree.

Preferred Skills

• Proficiency in FastAPI and Celery.
• Background in Data Engineering.
• Familiarity with AWS services including Redis, DynamoDB, S3, SQS, Kinesis, KMS, IAM, and Secrets Manager.

Key Skills

Education

Any Gradute