AWS AI/ML Engineer

6 days ago


Jaipur, 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.Qualifications2+ 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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