26 to 50 of 78 Remote Amazon Bedrock Jobs

/or AWS Machine Learning Specialty Proven track record of architecting, deploying, and optimizing complex cloud solutions for AI-driven workloads. Generative AI and Cutting-Edge Technologies: Expertise in Amazon Bedrock for deploying foundation models and managing scalable GenAI workloads. Proficiency in fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using Amazon SageMaker JumpStart … and Hugging Face on AWS. Experience leveraging Amazon Q (formerly AWS CodeWhisperer) Business and Developer for AI-powered coding productivity and automation. Machine Learning Frameworks and Pipelines: In-depth knowledge of Amazon SageMaker, including Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias detection and interpretability. Skilled in distributed model training with multi-GPU clusters and optimization … for high-performance inference. Data Engineering and AI Workflow Optimization: Proficient in building data pipelines with Amazon S3, AWS Glue, Lake Formation, and Redshift for AI and ML workloads. Experienced in optimizing data preparation for large-scale AI model training and inference workflows. AI Integration and Deployment: Expertise in building end-to-end AI pipelines using AWS Lambda, Step More ❯

embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong More ❯

multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelor’s degree (master’s or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related More ❯

agents, models and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript, React.js, Express, Next.js Integrate ML models and embeddings into production pipelines using AWS SageMaker , Bedrock or OpenAI APIs Build support systems for autonomous agents including memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and More ❯

agents, models and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript, React.js, Express, Next.js Integrate ML models and embeddings into production pipelines using AWS SageMaker , Bedrock or OpenAI APIs Build support systems for autonomous agents including memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and More ❯

agents, models and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript, React.js, Express, Next.js Integrate ML models and embeddings into production pipelines using AWS SageMaker , Bedrock or OpenAI APIs Build support systems for autonomous agents including memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and More ❯

embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong More ❯

databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and performance. Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT. Hands-on experience with iPaaS technologies, middleware, integration More ❯

TCP/IP stack knowledge, Encryption expertise, TLS, DTLS, ECC, PKI/Certificates Identity & Access Management: AD/LDAP Preferred Qualifications: Experience with AI technologies and services (e.g., OpenAI, Bedrock, etc.) Expertise in the security of Gen AI models, including multi-modal models Experience with the security of automation built around Gen AI inputs and outputs Knowledge with AWS More ❯

e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC) Cloud platform experience, especially from an ML standpoint (AWS preferred) Statistical testing experience Experience with AWS Bedrock Experience with C# Containerization via Docker. Awareness of basic data science and generative AI methods. Exposure to generative AI application frameworks like LangChain, LlamaIndex, SmolAgents and griptape. What's More ❯

related. Required technical skills: Coding proficiency in Python, and front-end development experience with Javascript/React. Proficiency development with services such as AWS Lambda, Step Functions, DynamoDB, AppSync, Bedrock, SageMaker, and CloudWatch. Proficiency in developing and integrating with REST-based or GraphQL-based APIs. Proficiency in developing infrastructure-as-code deployment solutions such as AWS CloudFormation or AWS More ❯

devops experience useful (kubectl, helm, etc.) Cloud platform experience, especially from an ML standpoint (AWS preferred) Statistical testing experience Basic AWS resource management, including microservice deployment. Experience with AWS Bedrock Experience with C# Containerization via Docker. Awareness of basic data science and generative AI methods. Exposure to generative AI application frameworks like LangChain, LlamaIndex, SmolAgents and griptape. What’s More ❯

real-time data streaming and processing across multiple internal projects Configure and manage AWS Connect contact centre solutions to enhance customer communication capabilities Leverage cutting-edge AI technologies including Amazon SageMaker and Bedrock to build intelligent solutions Transform routine tasks through automation, dramatically improving system efficiency Optimise AWS cloud infrastructure to deliver unmatched performance, scalability, and security Leverage … Extensive PHP coding experience with cloud integration • Advanced AWS Kinesis experience for real-time data processing • Expert-level AWS Connect experience for contact centre solutions • Commercial AI experience using Amazon SageMaker, Bedrock, and LLMs (OpenAI, Anthropic, Google) Additional Requirements: 3+ years experience as Cloud Platform Engineer or DevOps Engineer Unix system administration CI/CD tools (GitLab, Jenkins … CircleCI) Containerisation (Docker, Amazon ECS, ECR) AWS services (EC2, ECS, RDS, S3, SQS, OpenSearch, ElastiCache) Database experience (MySQL, MariaDB, PostgreSQL, MongoDB, DynamoDB) Infrastructure as Code (Terraform) Networking (VPCs, Security Groups, VPN, DNS) Monitoring tools (Sentry, Grafana, Prometheus, CloudWatch) Version control (GitLab) Additional coding languages (Python, JavaScript, Bash, Node.js) Desirable Skills AWS certifications Automated testing and code quality tools Google More ❯

real-time data streaming and processing across multiple internal projects Configure and manage AWS Connect contact centre solutions to enhance customer communication capabilities Leverage cutting-edge AI technologies including Amazon SageMaker and Bedrock to build intelligent solutions Transform routine tasks through automation, dramatically improving system efficiency Optimise AWS cloud infrastructure to deliver unmatched performance, scalability, and security Leverage … Extensive PHP coding experience with cloud integration • Advanced AWS Kinesis experience for real-time data processing • Expert-level AWS Connect experience for contact centre solutions • Commercial AI experience using Amazon SageMaker, Bedrock, and LLMs (OpenAI, Anthropic, Google) Additional Requirements: 3+ years experience as Cloud Platform Engineer or DevOps Engineer Unix system administration CI/CD tools (GitLab, Jenkins … CircleCI) Containerisation (Docker, Amazon ECS, ECR) AWS services (EC2, ECS, RDS, S3, SQS, OpenSearch, ElastiCache) Database experience (MySQL, MariaDB, PostgreSQL, MongoDB, DynamoDB) Infrastructure as Code (Terraform) Networking (VPCs, Security Groups, VPN, DNS) Monitoring tools (Sentry, Grafana, Prometheus, CloudWatch) Version control (GitLab) Additional coding languages (Python, JavaScript, Bash, Node.js) Desirable Skills AWS certifications Automated testing and code quality tools Google More ❯

Angular/TypeScript for the frontend, SQL Server and PostgreSQL for our relational databases and Terraform for our infrastructure as code. Our platform is hosted on wide range of Amazon Web Services including EC2, ECS, Lambda, RDS, S3, DynamoDB and SQS. We also use Amazon Bedrock to build cutting edge generative AI applications, SwiftUI for our native More ❯

fields is a plus. • Experience with machine learning libraries such as PyTorch, TensorFlow, JAX is a plus. • Experience applying generative AI solutions (via open source tools or through Azure, Amazon Bedrock, Nvidia etc.) is a plus. • Experience with cloud technologies (Azure, AWS, Google Cloud Platform) is a plus. Our benefits To help you stay energized, engaged and inspired More ❯

SA, EU North , AGS-EMEA-Europe North Are you passionate about helping customers build solutions leveraging state-of-the-art Artificial Intelligence, Machine Learning and Deep Learning tools on Amazon Web Service (AWS)? Would you like to focus on developing agentic AI systems for our Europe North customers? Come join us! At Amazon, we’ve been investing deeply …/ML SA), to join our other Subject Matter Experts (SMEs) in helping customers in Europe North (BeNeLux, Nordics and Baltics) design solutions that leverage our GenAI services, including Amazon Bedrock, Amazon SageMaker, and Amazon Q. As part of the team, you will work closely with customers to enable large-scale use cases, design GenAI pipelines … you want to educate AWS customers about the art of the possible, while challenging the impossible, come build the future with us. A day in the life Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career More ❯

Angular/TypeScript for the frontend, SQL Server and PostgreSQL for our relational databases and Terraform for our infrastructure as code. Our platform is hosted on wide range of Amazon Web Services including EC2, ECS, Lambda, RDS, S3, DynamoDB and SQS. We also use Amazon Bedrock to build cutting edge generative AI applications, SwiftUI for our native More ❯

management and organizational skills Preferred Qualifications: Generating Echo handlers and models from OAS using oapi-codegen Launch Darkly Feature Flagging Docker AWS Cloud Services including EKS and RDS AWS Bedrock Knowledgebases and Agents AWS Sagemaker Generative AI Prompt Engineering Additional Information About QAD: QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global More ❯

management and organizational skills Preferred Qualifications: Generating Echo handlers and models from OAS using oapi-codegen Launch Darkly Feature Flagging Docker AWS Cloud Services including EKS and RDS AWS Bedrock Knowledgebases and Agents AWS Sagemaker Generative AI Prompt Engineering Additional Information About QAD: QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global More ❯

record of delivering complex, scalable applications - ideally Multi-tenant SaaS platforms and possess the following experience: Cloud Services Expertise: In-depth knowledge of AWS services, including EC2, S3, RDS, Bedrock, Lambda and ECS for deploying and managing scalable applications. React and JavaScript: Ability to build and maintain dynamic, high-performance user interfaces that are design lead. Database Management: Proficiency More ❯

complex enterprise environments Experience in all architecture domains:- application, data, cloud ( AWS) and technology with expertise with AI, Gen Ai and ML frameworks (e.g., TensorFlow, PyTorch, AWS Sagemaker, AWS Bedrock, OpenAI). Strong experience of AI services and AI lifecycle and model training Proficiency in backend and frontend technologies such as .NET Core, Node.js, and React; familiarity with microservices More ❯

data science, with a focus on machine learning model development/Large Language Model (LLM) application development Experience deploying Generative AI applications to production in GCP (VertexAI) or AWS (Bedrock) Demonstrable experience monitoring the performance and output quality of generative models, including assessing/mitigating hallucinations and coherence of generated content. Desirables: Experience fine-tuning large language models is More ❯

data science, with a focus on machine learning model development/Large Language Model (LLM) application development. Experience deploying Generative AI applications to production in GCP (VertexAI) or AWS (Bedrock). Demonstrable experience monitoring the performance and output quality of generative models, including assessing/mitigating hallucinations and coherence of generated content. Desirables: Experience fine-tuning large language models More ❯

support and development to succeed. A progressive organisation where you can really make a difference. We a great opportunity for a Data Scientist. You will have solid experience of Bedrock, Sagemaker, Python and Pandas. Key Responsibilities: * Working experience LLMs under Bedrock and Sagemaker both Amazon * Python with APIs to ChatGPT * Strong coding skills using libraries like pandas … Experience: AWS Data Science Environment: Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS. OCR Use-Case Development: Proficiency with Amazon Tex-tract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging … actionable insights. Stakeholder Collaboration: Effective communication with technical and non-technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). More ❯