certification in IAT or IAM or able to attain within 6 months of contract start Deep understanding of statistics and analysis Skilled in artificial intelligence and machine learning (e.g., SageMaker) Ability to code in multiple languages, including Python Knowledge of databases, data structures, and data architectures Excellent communications skills - both verbal and non-verbal Office Automation Skills - MS Office … in Science, Technology, Engineering, or Mathematics (STEM) Experience briefing senior customer personnel Ability to organize and prioritize numerous customer requests in a fast-paced deadline driven environment Familiarity with Amazon Web Services (AWS) Familiarity with customer's IA processes Experience with ServiceNow and Splunk Experience supporting IC or DoD in the Cyber Security Domain Familiarity with the RMF process … Experience with Relational Database Management System (RDMS) Experience with Amazon Elastic MapReduce (EMR) and SageMaker Experience with Machine Learning or Artificial Intelligence Travel Security Clearance Top Secret/SCI/CI Poly More ❯
technologies and become a core part of the largest cloud infrastructure on the planet? AWS is seeking a ADC Engineer to own and advance mission critical services in our Amazon Dedicated Clouds (ADC). We are looking for Systems Engineers to work as a team that will deploy AWS generative AI and Machine Learning services, such as Bedrock, SageMaker … operational scalability that sustains the platform's insane growth. A successful engineer joining the team will do much more than write code and triage problems. They will work with Amazon's largest and most demanding customers to address specific needs across a full suite of services. They will dive deeply into technical issues and work diligently to improve the … its architecture to better understand system configuration and dependencies - Studying and learning along some of the industry's top experts on cloud computing - Expanding regional offerings for some of Amazon's Artificial Intelligence and Machine Learning services like AmazonSageMaker or Amazon Bedrock - Building and launching AWS services from ordering hardware to deploying software - Participating in More ❯
statistical analysis to large data sets Desired: Experience briefing senior customer personnel Ability to organize and prioritize numerous customer requests in a fast pace deadline driven environment Familiarity with Amazon Web Services (AWS) Familiarity with customer's IA processes Experience with ServiceNow and Splunk Experience supporting IC or DoD in the Cyber Security Domain Familiarity with the RMF process … Experience with Relational Database Management System (RDMS) Experience with Apache Hadoop and the Hadoop Distributed File System Experience with Amazon Elastic MapReduce (EMR) and SageMaker Experience with Machine Learning or Artificial Intelligence More ❯
SA will join a team that supports US Air Force Information, Cyber, and Intelligence customers, Combatant Commands, Navy, and the Marine Corps. This is an excellent opportunity to join Amazon's truly innovative technical teams, while also developing your skills and furthering your career within one of the most innovative and progressive technology companies anywhere. In this role, you … will have the opportunity to help shape and deliver on a strategy to build broad use of Amazon Web Services (e.g., Amazon Bedrock, AmazonSageMaker, Amazon S3, Amazon EC2, and AWS Lambda) directly with customers and our ecosystem of system integrators and solution providers. Your broad responsibilities will include: owning the technical engagement and …/services operations, management, and security - Economic and business - RFP/Acquisition support; technical architecture; understanding market trends; cost benefit analysis - Advisory/Consulting experience with Defense Department customers Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers More ❯
challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it's always "Day 1". About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills … 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 … solution Sales skills, product management experience. - Experience working with Data Scientist, AI Developers and Machine Learning professionals. - Bachelor's degree PREFERRED QUALIFICATIONS - Experience with AWS AI/ML services (SageMaker, Bedrock, Amazon Q, etc.) - Entrepreneurship/startup experience - Experience speaking at conferences and events - Experience in consulting or working for large, complex organizations - Master's degree or equivalent More ❯
skills Ability to translate technical solutions into business outcomes Strong project leadership skills, ideally with experience in agile environments Desirable: Familiarity with cloud AI platforms (e.g. Azure AI, AWS SageMaker, Google Vertex AI) Experience with data governance, compliance, and risk in AI deployments Understanding of change management principles in large-scale technology programmes Why apply? This is a high More ❯
technologies on client deliveries and through research Job Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation More ❯
technologies on client deliveries and through research Job Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation More ❯
using emerging technologies on client deliveries and through research. We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, ... Implementation of AI/ML architectural patterns and best practices e.g. data drift detection More ❯
Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: Amazon Web Services Australia Pty Ltd Are you a Data Analytics and GenAI specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you like to solve the most complex and high scale (billions+ … decisions and desired customer outcomes. Key job responsibilities: Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, AmazonSageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span More ❯
data at rest, data tagging, processing, and associated costing for each Security+ certification required Preferred Experience with IC, especially DIA, cloud implementations A working understanding of NGA Safehouse AWS SageMaker/MLSpace MarkLogic expertise More ❯
technologies based on client delivery experience and research Qualification We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG More ❯
and academia and how to apply them to solve real world customer problems We are looking for significant experience in: AI/ML platform technologies and services such as Sagemaker, Vertex, Azure ML, OpenAI, LangChain, AutoML, OCR, STT, feature stores, and vector databases. Driving literature reviews then build proof-of-concepts to validate hypotheses and thus inform AI/ More ❯
you will be responsible for driving strategy, top line revenue growth and overall end customer adoption of our comprehensive GenAI/ML solutions. AI/ML services such as Amazon Nova, AmazonSageMaker, Amazon Bedrock, and our generative AI offerings. You will lead a senior go-to-market team across 100+ countries in EMEA, leveraging sales … on thinking big, delivering exceptional results for our customers, and working across AWS as to build the future of AI and cloud computing. This position is part of the Amazon Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help … 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 More ❯
Government. Required Skills. Proficiency in common geospatial software applications and tools, such as Python, SQL, Mathematics, Statistics, Business Analytics, Collections, Data Visualization, ESRI ArcGIS, Timeseries Modeling, Large Language Modeling, Sagemaker, R, Git, Tableau, Collections, Databricks, Hue, Knowi, Kabana. More ❯
Job ID: Amazon EU SARL (Netherlands Branch) Amazon Web Services is seeking an enterprise technical sales representative to deliver value for customers via AWS's analytics solutions. As a sales specialist for this fast growing, exciting space you will have the opportunity to help drive the growth and shape the future of emerging technologies that will have an … to help customers achieve these desired outcomes by partnering with AWS. You will educate customers on "art of the possible" success stories and AWS enablers including our data warehousing (Amazon Redshift), data lake (Amazon Lake Formation), BigData processing (Amazon EMR), search (Amazon Open Search Service), ETL (Amazon Glue), streaming (Amazon Kinesis and Amazon Managed Kafka), and Sagemaker Unified Studio brining these all together. Then you will work with a specialized solution architect to craft a solution spanning these solutions as well as selected partner products and manage the sales process including evaluation, pricing, objection handling, navigating competitive pressures, proofs of concept and construction of a supporting business case. The ideal candidate More ❯
As part of the AWS 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 day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We … blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower … AWS Apps and Services to tackle a huge new problem space. You'll be an integral part of testing the app built by services that leverage AWS technologies like SageMaker, Forecast, Athena, QuickSight, Glue, Bedrock, ML and more. As a QA member of the team, you'll wear many hats. You'll help design the overall test strategy, test More ❯
