351 to 375 of 508 Amazon SageMaker Jobs

Sr Worldwide Specialist Solutions Architect - GenAI, Amazon SageMaker Job ID: 2858333 | AWS EMEA SARL (UK Branch) Are you passionate about Artificial Intelligence, Machine Learning and Deep Learning? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/DL tools on Amazon Web Service (AWS)? Come join us! At Amazon … ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage. Within AWS, we’re … knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly More ❯

Sr. Applied Scientist, Generative AI Innovation Center Job ID: Amazon Web Services Korea LLC Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational … candidates to apply. If your 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 why customers from the most … 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 - Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts - Scientific thinking and the More ❯

Infrastructure as Code (IaC) - Docker Nice to have Skills: - Cloudwatch, kibana - Typescript Language knowledge Dutch Technical skills Apple MAC AWS CICD tooling AWS DynamoDB AWS Lambda AWS S3 AWS SageMaker Docker GIThub/BitBucket JavaScript Java SDK Kubernetes Spring Spring Boot Terraform TypeScript More ❯

Relevant skills/qualifications: -Bachelor's Degree -6+ years of relevant experience -Geospatial experience Desired: -Experience with Python, R, SQL, or SAS -Experience with Git -Experience with AWS Sagemaker -Experience with statistics, NLP, Markov-Chain modeling, Linear Algebra, or TensorFlow This opportunity is located in Springfield, VA and requires a TS/SCI + CI Polygraph. : or contact More ❯

Team to develop and deliver encryption key management processes and systems. Ensure security across the Data & Analytics technology stack, which includes Oracle tools, Snowflake, Postgres, and various AWS services (SageMaker, Lambda, Step Functions, DMS, S3, etc.). Data Security Engineer – Your Background The ideal Data Security Engineer will have: Experience in a similar role, with leadership qualities and knowledge More ❯

to develop and implement encryption key management processes and systems. Ensure security across the Data & Analytics technology stack, which primarily includes Oracle tools, Snowflake, Postgres, and various AWS services (SageMaker, Lambda, Step Functions, DMS, S3, etc.) in the AWS Cloud. Data Security Engineer – Your Background The ideal Data Security Engineer will have: Experience in a similar role, demonstrating leadership More ❯

and eligible to work without sponsorship. Bonus Points For: Experience with LLMs, machine learning platforms, or AI governance. Previous work with cloud-based AI tools (e.g., Azure ML, AWS SageMaker, GCP Vertex AI). Ready to lead the future of finance with AI? Apply now to be part of a transformative journey with one of the UK’s most More ❯

Team to develop and deliver encryption key management processes and systems. Ensure security across the Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. Data Security Engineer - Your Background The ideal Data Security Engineer will have: Experience in a similar role, in both More ❯

Team to develop and deliver encryption key management processes and systems. Ensure security across the Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. Data Security Engineer - Your Background The ideal Data Security Engineer will have: Experience in a similar role, in both More ❯

What you’ll bring: Proven experience with Python and SQL Strong expertise in AI, OpenAI, and LLMs A track record in machine learning modelling Experience with tools such as SageMaker and DataRobot A background in finance or another regulated industry You’ll be instrumental in building greenfield AI products from the ground up, helping the business stay at the More ❯

sources. Active SC Clearance and sole British nationality are mandatory due to project sensitivity. Desirable: Experience in defence or government programmes. Familiarity with cloud-based ML toolsets (e.g., AWS SageMaker Ground Truth, Azure Custom Vision). Knowledge of computer vision models and their data requirements. Experience managing annotation teams or quality control processes. Additional Details: This role is classified More ❯

just file handling). Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with a strong sense of how More ❯

just file handling). Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with a strong sense of how More ❯

just file handling). Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with a strong sense of how More ❯

just file handling). Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with a strong sense of how More ❯

just file handling). Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder – with a strong sense of how More ❯

just file handling). Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder - with a strong sense of how More ❯

data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such More ❯

data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such More ❯

data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such More ❯

data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such More ❯

standards (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience with AI/ML platforms and monitoring tools such as MLflow, Azure ML, SageMaker, Databricks, Python. Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering. Experience with cloud-native AI environments and SaaS AI More ❯

multi-AZ deployments, scaling patterns, and CI/CD workflows . Professional communicator — able to distill complex ideas into actionable, business-aligned insights. Bonus Points for AWS Bedrock or SageMaker experience Exposure to LLM-backed applications or AI/ML pipelines Experience working with influencer-led SaaS or personal-brand founders Familiarity with AppSec , compliance-light design , and high More ❯

of our journey as we build out the team. We're migrating to Snowflake platform along with other tooling as part of the modern data stack such as AWS (Sagemaker). You'll be responsible for designing and implementing the infrastructure and tools that enable the development and deployment of machine learning models. In this role, you'll be More ❯

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 manufacturing companies. Global manufacturers face More ❯