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Amazon Machine Learning Engineer
Design and deploy large-scale AI/ML systems, including LLMs and generative AI, for Amazon’s customer service platform, focusing on scalable pipelines, model serving, and governance.
Technical Project Manager
Own the end-to-end delivery of a conversational AI quality-assurance product, managing enterprise integrations and GenAI deployments while bridging technical teams and clients.
AI Engineer
Design and build AI/ML models to solve real-world problems, using Python and frameworks like PyTorch or TensorFlow, while collaborating in a hybrid office setup.
Amazon Applied Scientist, LLM Code Agents
Build and deploy large language models for AI-powered code agents, focusing on reinforcement learning and post-training methods to enhance developer productivity at Amazon Web Services.
Amazon Senior Data and AI Cloud Architect
Design and implement AWS-based data and AI architectures for financial-services clients, advising C-level executives on cloud-native platforms and generative-AI solutions.
Agentic AI Engineer — Healthcare AI
Build and deploy LLM- and SLM-powered agentic systems for healthcare decisioning, including clinical reasoning, prior authorization, and claims integrity, using frameworks like LangGraph and LangChain.
Data Scientist
Build AI/ML products using LLMs, GenAI, and agentic frameworks to optimize retail operations and customer experiences for a sustainable energy provider.
NLM QA Specialist I - III
QA Specialist to test NLP and analytics software that processes biomedical data for the National Library of Medicine, ensuring accuracy and reliability of research evaluation tools.
Technical Architect, Machine Learning, Generative AI
Design and build enterprise-grade generative AI systems on AWS using Bedrock, AgentCore, and RAG pipelines, leading teams to deliver scalable LLM applications with agentic workflows.
(Senior) AI Engineer (all genders)
Builds and optimizes AI features, integrates LLMs into production, and experiments with model architectures, prompting, and inference techniques.
Senior Applied Artificial Intelligence/Machine Learning Scientist
Build AI/ML systems to optimize paid marketing, recommender engines, and LTV predictions for Faire’s wholesale ecommerce platform, leveraging LLMs and reinforcement learning.
Applied Artificial Intelligence/Machine Learning Scientist
Build ML models for shipping cost optimization, retailer credit underwriting, and personalized retailer growth tools using Python, XGBoost, and deep learning to power Faire’s wholesale marketplace.
Senior Data Scientist (Remote)
Senior Data Scientist builds and deploys ML/AI models, NLP, and generative AI solutions for a defense health mission, using Python, SQL, and cloud platforms to deliver predictive analytics and decision-support systems.
Senior AI/ML Engineer, Life Sciences
Designs and deploys AI/ML models for cancer diagnostics and precision oncology, using deep learning and generative AI to analyze biological and clinical data.
Senior AI/ML Engineer, Life Science
Build and deploy advanced AI/ML models for cancer diagnostics and precision oncology using Python, TensorFlow/PyTorch, and generative AI techniques to analyze biological and clinical data.
Senior Machine Learning Engineer (Remote)
Build and scale AI models that power personalized marketing content for global brands using deep learning, transformers, and multimodal systems.
Senior AI/ML Engineer (Exclusive)
Build and deploy production-scale NLP and generative AI models that analyze billions of consumer reviews to power content moderation, personalization, and search relevance.
Applied Artificial Intelligence/Machine Learning Engineer
Build AI assistants that let users create and manipulate 3D scenes via natural language, integrating LLMs, NLP pipelines, and knowledge graphs for creative workflows.
Assistant Vice President, Data Science
Build and maintain AI/ML models for banking use cases like fraud detection and document understanding using Python, LLM frameworks, and cloud platforms.
Data Science Manager
Lead a team building AI/ML models for banking use cases like fraud detection and document understanding using Python, LLMs, and cloud platforms.