AWS AI / ML Engineer (Remote)

Role Description

This is a hands-on engineering role focused on building and maintaining AI and ML services on AWS. You will help turn ideas and prototypes into robust, production-ready APIs and ML flows using Amazon Bedrock, Amazon SageMaker, Python, and FastAPI.

Build and maintain Python + FastAPI services that integrate ML and LLM capabilities.

Use AWS Bedrock and Amazon SageMaker to develop, deploy, and monitor ML and LLM models.

Implement and support ML flows / pipelines under the guidance of senior architects.

Assist with data preparation for model training, validation, and evaluation.

Contribute to automated testing, CI / CD pipelines, and observability for ML-powered services.

Write clear documentation for services, endpoints, and ML pipelines.

Collaborate with product and data teams to translate requirements into technical solutions.

Qualifications

2+ years of experience as a software engineer or ML engineer.

Strong Python skills and experience with frameworks such as FastAPI, Flask, or similar.

Hands-on exposure to AWS, ideally including services like Amazon Bedrock and Amazon SageMaker.

Understanding of LLM basics : prompts, responses, error modes, and common limitations.

Solid ML fundamentals : train / validation / test splits, basic models, and evaluation metrics.

Basic understanding of ML workflows / pipelines and interest in growing skills in MLOps.

Comfort working in a remote, async-friendly engineering environment.

Nice to have :

Experience building proof-of-concepts (POCs) with GenAI / LLMs.

Familiarity with Docker, Git, and basic CI / CD pipelines.