Chief AI Architect

1 week ago


kannur, India beBeeMachine Full time

AI/ML Engineering RoleThis is a hands-on engineering position that focuses on designing and implementing AI and ML services using AWS resources.You will help transform ideas and prototypes into robust, production-ready APIs and ML workflows leveraging Amazon Bedrock, Amazon SageMaker, Python, and FastAPI.Develop and maintain Python + FastAPI services that integrate ML and LLM capabilities.Utilize AWS Bedrock and Amazon SageMaker to develop, deploy, and monitor ML and LLM models.Implement and support ML 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 workflows.Collaborate with product and data teams to translate requirements into technical solutions.Requirements: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.


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