1 to 25 of 55 Amazon Bedrock Jobs

career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's … experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation - Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools - Experience … building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value More ❯

Generative AI Model and Distributed Training, APJ Job ID: Amazon Web Services Korea LLC Do you want to help define the future of Go to Market (GTM) of Machine Learning and Generative AI (GenAI) at AWS? Would you like to join one of the fastest-growing organizations focused on … potential and challenges of GenAI models and applications to engineering teams and C-Level executives. This requires deep familiarity across the stack - compute infrastructure (Amazon EC2, Amazon EKA), ML frameworks PyTorch, JAX, orchestration layers Kubernetes and Slurm, parallel computing (NCCL, MPI), MLOPs, through to Amazon SageMaker Hyperpod … Amazon Bedrock as well as target use cases in the cloud. This is an opportunity to be at the forefront of technological transformations, as a key technical leader. Additionally, you will work with the AWS Generative AI and EC2 product teams to shape product vision and prioritize features More ❯

the best model for each individual legal use case. This approach includes working with large language models like Anthropic's Claude 2, hosted on Amazon Bedrock from Amazon Web Services (AWS), and OpenAI's GPT-4 and ChatGPT, hosted on Microsoft Azure. ACCOUNTABILITIES • Solve some of the More ❯

career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's … building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools. Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker. Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non More ❯

Engineers focusing on their growth and execution excellence. Lead and be responsible for on-time, great-quality project deliveries Developing MLOps pipelines leveraging the Amazon SageMaker platform and its features Developing Generative AI solutions and POCs, utilizing the latest architectures and technologies Delivering end-to-end ML products - model … data scientists and experience with software development and test automation Experience with one or more large language models, such as frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex Experience with Docker and Kubernetes Fluent written and verbal communication skills in English Working knowledge of some Vector Databases More ❯

Engineering, Computer Engineering or related field. Experience in containerization - Docker/Kubernetes. Experience in AWS cloud and services (S3, Lambda, Aurora, ECS, EKS, SageMaker, Bedrock, Athena, Secrets Manager, Certificate Manager etc.) Proven DevOps/MLOps experience provisioning and maintaining infrastructure leveraging some of the following: Terraform, Ansible, AWS CDK More ❯

with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production More ❯

with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production More ❯

complex challenges, devise practical solutions, and iterate quickly based on feedback or data. Hands-on experience with cloud platforms, including AWS (e.g., EC2, Sagemaker, Bedrock, S3, Lambda), Google Cloud (e.g., Compute Engine, Vertex, GKE, BigQuery), Azure (e.g., Virtual Machines, Azure OpenAI) etc. Proficiency in scripting or programming (e.g., Python More ❯

functional teams, including data scientists, software engineers, and designers. Develop and implement state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service. Required Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts with proficient applied experience. Strong hands-on experience with at More ❯

Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. Passionate about code quality, adhering to best practices for code quality, performance, testing, monitoring, documentation More ❯

models using vLLM, DeepSpeed, Triton, TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB More ❯

programming challenge during the interview process. Experience with Jupyter Notebooks, Python Data Science Libraries. Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring ML models. Place of Performance: Hybrid work in San Antonio, TX. Desired Skills (Optional) Experience More ❯

capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to More ❯

capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to More ❯

of leading the architecture of multiple LLM and Generative AI solutions. Expertise in LLM ecosystems, including platforms like Azure OpenAI, Google Vertex, and AWS Bedrock, and mastery of relevant tech stacks. Proficient in cloud platforms (AWS, Azure, GCP) with experience in deploying and leading complex AI/ML workloads. More ❯

should be able to show strong capability in their core areas: Cloud Data Platforms Azure Synapse Analytics, Microsoft Fabric, Azure Data Lake, Azure SQL Amazon Redshift, AWS Athena, AWS Glue Google BigQuery, Google Cloud Storage, Dataproc Artificial Intelligence & Machine Learning Azure OpenAI, Azure Machine Learning Studio, Azure AI Foundry … AWS SageMaker, Amazon Bedrock Google Vertex AI, TensorFlow, scikit-learn, Hugging Face Data Engineering & Big Data Azure Data Factory, Azure Databricks, Apache Spark, Delta Lake AWS Glue ETL, AWS EMR Google Dataflow, Apache Beam Business Intelligence & Analytics Power BI, Amazon QuickSight, Looker Studio Embedded analytics and interactive More ❯

Design, develop, and deploy AI systems that can run efficiently in on-premise environments with local models, without depending on 3rd parties like OpenAI, Amazon Bedrock, etc. Optimize Small Language Models (SLMs) for private deployments with attention to performance and resource constraints. Contribute to the architecture of our More ❯

data aspects. SnowPro certification is desirable. Experience with related/complementary open-source software platforms and languages (e.g. Java, Python, Scala) Understanding of AWS Bedrock, AI services and Snowflake Cortex services implementation life cycle, latest tools is desirable Strategies and develop IP/solution assets, accelerators, frameworks Engage with More ❯

Experience with GPU/TPU optimization and open-source frameworks like LangChain or LlamaIndex Experience building generative AI applications on AWS using services like Amazon Bedrock and SageMaker We are an equal opportunities employer committed to diversity. Your privacy is important to us; see our Privacy Notice . More ❯

real-world business problems (not just ticking a box) Understanding of data engineering practices or experience with data science tools (e.g., Python, PowerBI, AWS Bedrock) Even if you’re not an AI expert, we’d love to hear from you - we’re building an environment where engineers can learn More ❯

applications. Package and deploy ML models (including Hugging Face Transformers) as microservices on AWS. Build, train, and evaluate models using AWS tools like SageMaker, Bedrock, Glue, Athena, and Redshift. Develop secure APIs with Apigee and build automation pipelines using Jenkins, Maven, and more. Support the full ML lifecycle including More ❯

product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model … communication and stakeholder engagement skills. A degree in Computer Science, Engineering, Data Science, or a similar field. Tech Stack Highlights Python Java AWS (including Bedrock) Claude Terraform Docker MySQL GitHub & GitHub Actions Perks and Benefits Competitive salary package 25 days holiday (Not including bank holidays) Flexible remote working Parental More ❯

product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model … communication and stakeholder engagement skills. A degree in Computer Science, Engineering, Data Science, or a similar field. Tech Stack Highlights Python Java AWS (including Bedrock) Claude Terraform Docker MySQL GitHub & GitHub Actions Perks and Benefits Competitive salary package 25 days holiday (Not including bank holidays) Flexible remote working Parental More ❯

product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model … communication and stakeholder engagement skills. A degree in Computer Science, Engineering, Data Science, or a similar field. Tech Stack Highlights Python Java AWS (including Bedrock) Claude Terraform Docker MySQL GitHub & GitHub Actions Perks and Benefits Competitive salary package 25 days holiday (Not including bank holidays) Flexible remote working Parental More ❯