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Design and build enterprise-grade MLOps/LLMOps platforms on AWS SageMaker and EKS, automating model lifecycle from training to monitoring and ensuring scalable, secure AI deployments.
Designs and builds enterprise-grade GenAI solutions on AWS (Bedrock, AgentCore) with LLMs, RAG pipelines, and agentic workflows, ensuring scalability, performance, and cost efficiency.
Build and deploy AI/ML systems for drug discovery and patient care, including GenAI, RAG, and agents, using Python, cloud platforms, and MLOps/LLMOps pipelines.
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage…
Senior Data Scientist builds and deploys ML and LLM-powered apps for healthcare clients, turning EHR, claims and clinical data into predictive models and AI workflows that improve patient outcomes and operations.
Builds and ships production-grade AI features for a retail merchandising platform using LLMs, RAG, and agentic AI systems in Python.
Build and maintain scalable data pipelines and MLOps tooling to deploy, monitor, and version machine-learning models in AWS and GCP.
Build and deploy production-grade ML systems for personalization, search, and generative AI at Autodesk, using Python and frameworks like PyTorch or TensorFlow.
Designs and secures cloud infrastructure (AWS/Azure/GCP) and ML pipelines, integrating cybersecurity best practices and compliance frameworks for enterprise systems.
Develop and deploy AI/ML models for secure geospatial and intelligence systems, building scalable pipelines and APIs in AWS while collaborating with data scientists and engineers.
Senior AI Engineer designs, builds, and deploys AI/ML systems (LLMs, NLP, CV) on cloud platforms to solve business problems, ensuring scalability and reliability.
Build and deploy production-grade generative AI systems using Python, LLMs, RAG pipelines, and AWS services like SageMaker and Bedrock.
Build and own data pipelines, warehousing, and ML infrastructure for an AI-powered workforce development platform, transforming labor market and skills data into job-matching systems using Python, SQL, Airflow, dbt, and AWS.
Build and maintain MLOps and DevOps platforms for AI/ML systems on AWS, including Kubernetes, CI/CD, and SageMaker pipelines, while ensuring security and reliability for fintech applications.
Build and deploy ML/AI models for government clients, using Python, TensorFlow, and cloud tools to analyze data and deliver predictive insights.
Senior Machine Learning Engineer Department: Engineering Location: San Francisco Employment Type: FullTime About the Role A growing AI and Data Science team at a healthcare-focused company is looking for a Senior…
Senior DevOps Engineer designs, automates, and maintains AWS cloud infrastructure and CI/CD pipelines for a financial data platform, using Terraform, Kubernetes, and Python.
Design, build, and migrate workloads to AWS while optimizing for cost, security, and management. Implement AI services like Bedrock and SageMaker, and automate infrastructure with Terraform and CI/CD pipelines.
Build and deploy AI/ML applications using cloud services like Amazon SageMaker, integrating generative models and deep learning into production pipelines.
Position Overview The AI/ML Engineer is a hands-on technical specialist responsible for designing, building, and operationalizing AI and machine learning capabilities within the MDM platform and its surrounding…
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