Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML Development: PyTorch, Jupyter Notebooks, XGBoost, Tensorflow etc. AIML Models: Linear/Logistic Regression, KNN More ❯
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 ❯
you familiar with security best practices and compliance standards for AI applications? Do you want to be part of the team helping to establish Amazon Web Services as a leading technology AI platform? Would you like to be part of a team that genuinely focuses on understanding what's … best for the customer and also be valued within as a technical expert? Amazon Web Services is looking for a skilled and motivated Professional Services Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need passionate … Expertise - Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, software design and operations in hybrid environments as well as complex projects at scale. - Solutions - Demonstrated consulting More ❯
you familiar with security best practices and compliance standards for AI applications? Do you want to be part of the team helping to establish Amazon Web Services as a leading technology AI platform? Would you like to be part of a team that genuinely focuses on understanding what's … best for the customer and also be valued within as a technical expert? Amazon Web Services is looking for a skilled and motivated Professional Services Senior Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need … Expertise - Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, engineering, software design and operations in hybrid environments as well as complex projects at scale. Solutions - Demonstrated More ❯
delivery experience and 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, AI/ML architectural patterns and best practices e.g. data More ❯
Delivery Consultant - AI/ML and Generative AI, Professional Services GCC Job ID: AWS ProServe IN - Maharashtra The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely … extract meaningful insights from complex, large-scale datasets PREFERRED QUALIFICATIONS AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred Experience with … accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race More ❯
Sr. Delivery Consultant - AI/ML and Generative AI, Professional Services GCC Job ID: AWS ProServe IN - Maharashtra The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work … 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 … extract meaningful insights from complex, large-scale datasets PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred - Experience with More ❯
Consultant - AI/ML and Generative AI, Professional Services GCC The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage … ability to extract meaningful insights from complex, large-scale datasets AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred Experience with More ❯
models can be successfully operationalised, monitored, and updated in real-time environments. Key Responsibilities: Design and deploy scalable machine learning pipelines using AWS services (SageMaker, Lambda, ECS/EKS, DynamoDB) and automate infrastructure with CloudFormation, Terraform, or AWS CDK. Implement robust monitoring for model performance and drift with tools … like CloudWatch, SageMaker Model Monitor, ensuring models meet business and compliance requirements. Automate the full machine learning lifecycle, integrating models into CI/CD pipelines (CodePipeline, Jenkins, GitLab CI) for seamless deployment and version control. Collaborate with data scientists and engineers to transition models from development to production, optimizing … machine learning solutions that scale based on real-time data and increasing workloads. Required Skills & Experience: Hands-on experience with AWS services such as SageMaker, Lambda, EKS, EC2, CloudFormation, and DynamoDB for deploying and managing machine learning models. Proficiency in containerization (Docker, Kubernetes) and automating ML pipelines using CI More ❯
ensuring optimal performance and reliability. • Pipeline Engineering: Design and maintain automated pipelines for model finetuning, evaluation, versioning, and continuous delivery using tools like MLflow, SageMaker Pipelines, or Kubeflow. • Infrastructure Management: Architect and manage cloud-native, cost-effective infrastructure for machine learning workloads using AWS (SageMaker, EC2, EKS, Lambda … in Python, with additional experience in C/C++ for performance-sensitive applications. • Tooling Knowledge: Proficiency in MLOps frameworks such as MLflow, Kubeflow, or SageMaker Pipelines; familiarity with Docker and Kubernetes. • Optimization Techniques: Hands-on experience with model performance optimization techniques and distributed training frameworks (e.g., DeepSpeed, FSDP, Accelerate More ❯
ensuring optimal performance and reliability. • Pipeline Engineering: Design and maintain automated pipelines for model finetuning, evaluation, versioning, and continuous delivery using tools like MLflow, SageMaker Pipelines, or Kubeflow. • Infrastructure Management: Architect and manage cloud-native, cost-effective infrastructure for machine learning workloads using AWS (SageMaker, EC2, EKS, Lambda … in Python, with additional experience in C/C++ for performance-sensitive applications. • Tooling Knowledge: Proficiency in MLOps frameworks such as MLflow, Kubeflow, or SageMaker Pipelines; familiarity with Docker and Kubernetes. • Optimization Techniques: Hands-on experience with model performance optimization techniques and distributed training frameworks (e.g., DeepSpeed, FSDP, Accelerate More ❯
ensuring optimal performance and reliability. • Pipeline Engineering: Design and maintain automated pipelines for model finetuning, evaluation, versioning, and continuous delivery using tools like MLflow, SageMaker Pipelines, or Kubeflow. • Infrastructure Management: Architect and manage cloud-native, cost-effective infrastructure for machine learning workloads using AWS (SageMaker, EC2, EKS, Lambda … in Python, with additional experience in C/C++ for performance-sensitive applications. • Tooling Knowledge: Proficiency in MLOps frameworks such as MLflow, Kubeflow, or SageMaker Pipelines; familiarity with Docker and Kubernetes. • Optimization Techniques: Hands-on experience with model performance optimization techniques and distributed training frameworks (e.g., DeepSpeed, FSDP, Accelerate More ❯
Facilities Management, Research and Development, Science and Pharmaceutical Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION Have you ever ordered a product on Amazon and when that box-with-the-smile arrives, you wonder how it got to you so fast? Ever wondered where it came from and … how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and reliably deliver hundreds of millions of packages to customer's doorsteps? If so, Amazon's EU Fulfillment Optimization team is for you. We use mathematical models, business analytics, algorithm design and statistics … to improve decision-making capabilities across Operations and Amazon Logistics. Our objective is to create a reference for what the ideal transportation network looks like and build scalable audit mechanisms to assess and reduce the gap to the current network. We do so by treating system defects as gifts More ❯
Have you ever ordered a product on Amazon and when that box-with-the-smile arrives, you wonder how it got to you so fast? Ever wondered where it came from and how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and … reliably deliver hundreds of millions of packages to customer's doorsteps? If so, Amazon's Trans Systems Analytics & Customer Experience (TSA & CX) team is for you. We use mathematical models, business analytics, algorithm design and statistics to improve decision-making capabilities across Operations and Amazon Logistics. Our objective … an applied environment. - Experience diving into data to discover hidden patterns and conducting error/deviation analysis. - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2. - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed More ❯
DESCRIPTION Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? At AWS Enterprise Support we're looking for a Technical Account Manager (TAM) to support our … you will help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, SageMaker, ECS/EKS, GuardDuty, Systems Manager, CodePipeline, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent … you will help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, SageMaker, ECS/EKS, GuardDuty, Systems Manager, CodePipeline, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent More ❯
DESCRIPTION Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? At AWS Enterprise Support we're looking for a Technical Account Manager (TAM) to support our … you will help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, SageMaker, ECS/EKS, GuardDuty, Systems Manager, CodePipeline, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent … must currently possess and maintain an active TS/SCI security clearance with polygraph. A day in the life About the Team 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 More ❯
Senior Software Engineer-AI, Annapurna Labs AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the … ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. Be part of an elite team developing … of both AI innovation and infrastructure automation, working on technologies that will power the next generation of cloud computing! About the team: 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 More ❯
DESCRIPTION Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? At AWS Enterprise Support we're looking for a Sr. Technical Account Manager (TAM) to support … you will help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, SageMaker, ECS/EKS, GuardDuty, Systems Manager, CodePipeline, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent … 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 More ❯
DESCRIPTION Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? At AWS Enterprise Support we're looking for a Technical Account Manager (TAM) to support our … you will help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, SageMaker, ECS/EKS, GuardDuty, Systems Manager, CodePipeline, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent … 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 More ❯
DESCRIPTION Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? At AWS National Security we're looking for a Enterprise Account Engineer (EAE) to support our … you will help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, SageMaker, ECS/EKS, GuardDuty, Systems Manager, CodePipeline, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent … 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 More ❯
flows using Apache Kafka, Apache Nifi and MySQL/PostGreSQL Develop within the components in the AWS cloud platform using services such as RedShift, SageMaker, API Gateway, QuickSight, and Athena Communicate with data owners to set up and ensure configuration parameters Document SOP related to streaming configuration, batch configuration … in instituting data observability solutions using tools such as Grafana, Splunk, AWS CloudWatch, Kibana, etc. Experience in container technologies such as Docker, Kubernetes, and Amazon EKS Qualifications: Ability to obtain an Active Secret clearance or higher Bachelors Degree in Computer Science, Engineering, or other technical discipline required, OR a More ❯
for building healthy habits. It includes the best wellbeing and digital health tools in the world. Customers can earn vouchers from great brands like Amazon, Tesco or ASOS for doing simple things like walking or practicing mindfulness. They can even do good by planting trees or cleaning the oceans … systems for both real-time (low-latency) and batch inference use cases Working with AWS and other cloud services (e.g. Fargate, ECS, Lambda, S3, SageMaker, Step Functions) to deploy and monitor models in production Implementing and maintaining CI/CD pipelines for ML workflows, ensuring repeatability and robust version … etc.) Experience in building parallelised or distributed model inference pipelines Nice-to-Have Skills Familiarity with feature stores and model registries (e.g. Feast, MLflow, SageMaker Model Registry) Knowledge of model versioning , A/B testing , and shadow deployments Experience implementing or contributing to MLOps frameworks and scalable deployment patterns More ❯
Would you like to do this using the latest cloud technologies while becoming a core part of the largest cloud infrastructure on the planet? Amazon Web Services (AWS) is seeking a Systems Development Engineer II to own and advance mission-critical services in our Amazon Dedicated Clouds (ADC … who provide troubleshooting and operations support, and innovate to automate operational tasks. About the team AI/ML ADC The AI/ML U.S. Amazon Dedicated Cloud (ADC) organization is a pioneering force in delivering secure, advanced artificial intelligence and machine learning solutions to government and enterprise customers operating … edge AI/ML capabilities while maintaining the highest standards of security and compliance. We enable reliable, efficient builds and operations for services like SageMaker, Comprehend, Translate, Transcribe, Textract, Rekognition, and Bedrock in US ADC regions. Why AWS Amazon Web Services (AWS) is the world's most comprehensive More ❯
Job Description - Senior Principal Consultant- Solution Architect (ITO090985) Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility More ❯
Business Partner Insight (Network Health) Analyst - Fixed Term Contract, Amazon Logistics DESCRIPTION At Amazon, we are working to be the most Customer-centric company on earth and as part of that we're constantly looking at taking to a new level in how we fulfil and deliver customer … orders. We are building a world class last mile operation, significantly complimented by Delivery Service Partners (DSP). Amazon works directly with DSPs to make deliveries to our customers. We are looking for an Insight analyst to join the EU Last Mile DSP Network Health Team. This person will … new, step-change initiatives for the organization. Onboarding data to our data warehouse by building automated data pipelines utilizing eg Python in Lambda or Sagemaker to invoke API calls. Using statistical techniques and tools for strategic deep dives; generating actionable insights and effectively communicating recommendations to senior leadership. Inventing More ❯
