151 to 175 of 241 Permanent Amazon SageMaker Jobs

learning solutions using Python. Experience with frameworks such as: PyTorch TensorFlow Scikit-learn XGBoost Experience deploying ML solutions on AWS, including services such as SageMaker, Lambda, and S3. Strong understanding of MLOps tooling, including MLflow, Weights & Biases, or Data Version Control (DVC). Experience developing LLM or Generative … agents and agentic workflows. Vector databases such as Pinecone, Weaviate, or pgvector. Feature stores including Feast or AWS Feature Store. Docker, Kubernetes, or Amazon ECS. Infrastructure as Code using Terraform or CloudFormation. Big data processing technologies such as Spark or Dask. Experience working within regulated or highly secure environments. ...

Компания Boehringer Ingelheim ищет специалиста по облачной инфраструктуре для проектирования и поддержки AWS-решений под ML/AI задачи. Вы будете работать над SageMaker, IAM, сетями и хранением данных, настраивать IaC и обеспечивать соответствие требованиям безопасности и корпоративной архитектуре. Основные обязанности включают мониторинг производительности, планирование ресурсов, внедрение MLOps-процессов ...

large language models, including agents, planning, or reasoning techniques Experience building and deploying ML models on cloud platforms Familiarity with AWS tools such as SageMaker, EKS, or similar services #J-18808-Ljbffr ...

business application Experience with contextual bandits, off-policy evaluation and learning torank models Experience with AWS technologies such as CDK, Redshift, S3, AWS Glue,Sagemaker, Kinesis, FireHose, Lambda, and IAM roles and permissions. Preferredqualifications: Experience using Unix/Linux Experience in professional software development Experience working within an Agile ...

strong expertise in SQL and Python being desirable. We're utilising the Data Science tools in the AWS Stack, so a good understanding of Sagemaker, Bedrock, and AWS Cloud Components would be highly desirable. Snowflake is our Central Data Platform, of which some experience would be desirable. Demonstrable experience ...

vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies including CI/CD, application resiliency, and security Preferred Qualifications, Capabilities ...

Senior AWS Cloud Engineer | S4 | Data & AI Domain | Multiple LocationsCountry: United Kingdom IT STARTS HERE Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organisation , and our people are at ...

Senior AWS Cloud Engineer | S4 | Data & AI Domain | Multiple LocationsCountry: United Kingdom IT STARTS HERE Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organisation , and our people are at ...

/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/… DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across the core services, for example: Storage & lakehouse: SQL, PostgreSQL, Cosmos, Blob, Data Lake, OneLake, Fabric Warehouse Processing & ETL: Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines, Fabric, dbt Data management ...

will work in an Agile team, applying TDD and CI/CD practices, and you will connect applications to AI services such as Bedrock, SageMaker and OpenAI while building event-driven data flows with Kafka, SQS and SNS. #J-18808-Ljbffr ...

vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies including CI/CD, application resiliency, and security Preferred Qualifications, Capabilities ...

pipelines, model deployment, and operationalization Strong analytical and communication skills with the ability to translate data-driven insights into actionable recommendations Experience with AWS SageMaker or a comparable cloud ML platform is a plus Wir bieten State-of-the-Art Technologies We use the latest technologies - innovation ...

Would Be Nice To Have : Experience working with COTS data tools such as DataRobot Proficiency working with CSP platforms and tools such as AWS Sagemaker and Rekognition, Google Cloud Platform and Google AI tools Experience developing bespoke analytical tools for law enforcement analysis Direct Experience supporting the National Targeting ...

quality controls in production and balancing innovation with risk, safety and regulatory alignment. Cloud Architecture: Strong understanding of AWS cloud architecture for AI workloads (SageMaker, Bedrock, MSK, EKS). Stakeholder Communication: Excellent communication skills, with the ability to present technical decisions clearly to senior business, product or regulatory stakeholders. ...

deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services … need exceptionally motivated people who are driven by learning and innovation. 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 ...

Amazon.com, Inc is seeking a Senior AI/ML Consultant in AWS Professional Services to lead delivery of cutting-edge AI/ML solutions for enterprise customers. You will drive innovation, shape technical strategy, and ...

vision to delivery, across a hybrid UK environment. You will leverage AWS analytics services to build secure, governed lakehouse and warehouse solutions, integrating with SageMaker and ensuring scalable, auditable data products while collaborating with cross-functional teams to implement CI/CD and governance practices. #J-18808-Ljbffr ...

standards and reusable patterns; Experience setting technical direction and influencing engineering practices across teams; Hands-on experience with cloud ML platforms such as AWS SageMaker and orchestration tools such as Airflow and Step Functions; Strong communication skills and ability to collaborate across Data Science, Engineering, and Data Platforms; Comfortable ...

/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS Sagemaker , MLflow, Azure ML. End-end custom Sagemaker pipelines for recommendation systemsDesign and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection … chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hostedDesign and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs Build evaluation pipelines: offline IR metrics (NDCG ...

driven workflows) with monitoring, versioning and CI/CD Maintain and improve an AWS-native data platform (e.g., S3, Redshift, RDS, Athena, SageMaker, Lambda) Write and optimise complex SQL for analytics, reporting, modelling and downstream BI use Build and maintain integrations with internal services and partner systems to enable … moving environment where you can have meaningful impact Nice to Have Experience with AWS services commonly used in modern data platforms (e.g., Redshift, Athena, SageMaker, Lambda) Prior experience supporting analytics and ML teams with data modelling and reliable datasets Mentoring experience (formal or informal) Package Salary ...

production deployment and optimisation Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams Partner with customers to translate business … 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 ...

learning engineer to own the training and deployment infrastructure for our production ML models. You will manage the training and inference workloads on AWS SageMaker, build reproducible training runs, and monitor model performance in live hospital environments. The role emphasizes production readiness, scalable systems, and collaboration with ML scientists ...

provide technical leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems adhere to governance standards. This is a hands-on, technical position ideal for those with deep expertise ...

production deployment and optimisation 2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker 3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams 4. Partner with customers … technical and non-technical audiences Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based ...

production deployment and optimisation 2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker 3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams 4. Partner with customers … technical and non-technical audiences Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that ...