AWS AI/ML Engineer

6 days ago

Malappuram, India Mindcraft Labs Full time

Role DescriptionThis 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.Please note that the working hours for this job would be 5PM to 2AM IST.- 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.

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