Senior Artificial Intelligence Developer
3 days ago
Job OpportunityA highly skilled Artificial Intelligence Engineer is sought after to design and develop innovative AI solutions on AWS. The ideal candidate will be responsible for creating and maintaining robust, production-ready APIs and ML flows using Amazon Bedrock, Amazon SageMaker, Python, and FastAPI.This role requires a strong understanding of software engineering principles and experience working with large-scale data sets. The ability to work independently in a remote environment is essential.Solution Development: Design and implement Python + FastAPI services that integrate ML and LLM capabilities.Model Training: Use AWS Bedrock and Amazon SageMaker to develop, deploy, and monitor ML and LLM models.Pipeline Management: Implement and support ML flows/pipelines under the guidance of senior architects.Data Preparation: Assist with data preparation for model training, validation, and evaluation.Testing and Deployment: Contribute to automated testing, CI/CD pipelines, and observability for ML-powered services.Documentation: Write clear documentation for services, endpoints, and ML pipelines.Collaboration: Collaborate with product and data teams to translate requirements into technical solutions.RequirementsAt least 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 haveExperience building proof-of-concepts (POCs) with GenAI/LLMs.Familiarity with Docker, Git, and basic CI/CD pipelines.
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