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Description:
As an AI NLP Architect at Expedite Commerce, you will be responsible for designing, building, and fine-tuning NLP models and large language model (LLM) agents using AWS Sagemaker and Bedrock technologies.
You will play a key role in creating intuitive and efficient model designs to enhance user experiences and business processes.
Responsibilities include overseeing model architecture, data pipeline integration, and metrics interpretation, as well as hands-on coding, LLM agent development, performance monitoring, research implementation, debugging, innovation, and continuous learning.
Requirements:
Demonstrated ability to design complex NLP systems and LLM agents from conceptualization to deployment.
Extensive experience in coding NLP applications and LLM agents using Python (3.10+), PyTorch, or similar frameworks.
4-6 years of experience in fine-tuning and deploying LLM agents, including practical experience with AWS Bedrock, OpenAI Function Calling, and other relevant platforms.
Deep understanding of NLP & multi-modal model architecture, experience with AWS Bedrock agent models, and practical experience in fine-tuning models for specific use cases.
Strong skills in deploying models and agents on cloud platforms, particularly AWS, and implementing serverless architectures.
Excellent communication skills in English, both written and verbal.
Experience in CI/CD pipeline using AWS CodePipeline, CodeBuild, and CodeDeploy for automated testing and deployment.
Portfolio of NLP projects and LLM agent developments, with contributions to public forums and technical publications.
Benefits:
Health Insurance, PTO, and Leave time.
Ongoing paid professional training and certifications.