301 to 325 of 491 Amazon SageMaker Jobs

devices. Proficiency in coding, especially in Python, C, and C++. Experience with computer vision, image processing, and ML frameworks like TensorFlow, Keras, PyTorch, scikit-learn. Experience with OpenCV, AWS Sagemaker, and S3. Skills: Proficiency with AWS Cloud Services. #J-18808-Ljbffr More ❯

Desirable experience: Familiar with Terraform, from a developer perspective. Previous work in financial services, healthcare, or similarly regulated data environments. Experience with LLMs, voice agents, or tools like AWS SageMaker, AWS Bedrock, or ElevenLabs. Exposure to soft real-time systems or distributed system architectures. Knowledge of OAuth, SQS, or running containers in production. More ❯

Desirable experience: Familiar with Terraform, from a developer perspective. Previous work in financial services, healthcare, or similarly regulated data environments. Experience with LLMs, voice agents, or tools like AWS SageMaker, AWS Bedrock, or ElevenLabs. Exposure to soft real-time systems or distributed system architectures. Knowledge of OAuth, SQS, or running containers in production. More ❯

Desirable experience: Familiar with Terraform, from a developer perspective. Previous work in financial services, healthcare, or similarly regulated data environments. Experience with LLMs, voice agents, or tools like AWS SageMaker, AWS Bedrock, or ElevenLabs. Exposure to soft real-time systems or distributed system architectures. Knowledge of OAuth, SQS, or running containers in production. More ❯

Desirable experience: Familiar with Terraform, from a developer perspective. Previous work in financial services, healthcare, or similarly regulated data environments. Experience with LLMs, voice agents, or tools like AWS SageMaker, AWS Bedrock, or ElevenLabs. Exposure to soft real-time systems or distributed system architectures. Knowledge of OAuth, SQS, or running containers in production. More ❯

solving mindset, taking initiative and owning your work. Must Have: 5+ years of experience in software engineering (or 3-4 years with strong qualifications). Strong experience with AWS (SageMaker experience is a plus). Proficiency in Python . Experience building and managing large-scale data pipelines in the cloud (AWS). Strong experience in data ingestion and processing More ❯

solving mindset, taking initiative and owning your work. Must Have: 5+ years of experience in software engineering (or 3-4 years with strong qualifications). Strong experience with AWS (SageMaker experience is a plus). Proficiency in Python . Experience building and managing large-scale data pipelines in the cloud (AWS). Strong experience in data ingestion and processing More ❯

solving mindset, taking initiative and owning your work. Must Have: 5+ years of experience in software engineering (or 3-4 years with strong qualifications). Strong experience with AWS (SageMaker experience is a plus). Proficiency in Python . Experience building and managing large-scale data pipelines in the cloud (AWS). Strong experience in data ingestion and processing More ❯

solving mindset, taking initiative and owning your work. Must Have: 5+ years of experience in software engineering (or 3-4 years with strong qualifications). Strong experience with AWS (SageMaker experience is a plus). Proficiency in Python . Experience building and managing large-scale data pipelines in the cloud (AWS). Strong experience in data ingestion and processing More ❯

solving mindset, taking initiative and owning your work. Must Have: 5+ years of experience in software engineering (or 3-4 years with strong qualifications). Strong experience with AWS (SageMaker experience is a plus). Proficiency in Python . Experience building and managing large-scale data pipelines in the cloud (AWS). Strong experience in data ingestion and processing More ❯

solving mindset, taking initiative and owning your work. Must Have: 5+ years of experience in software engineering (or 3-4 years with strong qualifications). Strong experience with AWS (SageMaker experience is a plus). Proficiency in Python . Experience building and managing large-scale data pipelines in the cloud (AWS). Strong experience in data ingestion and processing More ❯

solving mindset, taking initiative and owning your work. Must Have: 5+ years of experience in software engineering (or 3-4 years with strong qualifications). Strong experience with AWS (SageMaker experience is a plus). Proficiency in Python . Experience building and managing large-scale data pipelines in the cloud (AWS). Strong experience in data ingestion and processing More ❯

solving mindset, taking initiative and owning your work. Must Have: 5+ years of experience in software engineering (or 3-4 years with strong qualifications). Strong experience with AWS (SageMaker experience is a plus). Proficiency in Python . Experience building and managing large-scale data pipelines in the cloud (AWS). Strong experience in data ingestion and processing More ❯

solving mindset, taking initiative and owning your work. Must Have: 5+ years of experience in software engineering (or 3-4 years with strong qualifications). Strong experience with AWS (SageMaker experience is a plus). Proficiency in Python . Experience building and managing large-scale data pipelines in the cloud (AWS). Strong experience in data ingestion and processing More ❯

solving mindset, taking initiative and owning your work. Must Have: 5+ years of experience in software engineering (or 3-4 years with strong qualifications). Strong experience with AWS (SageMaker experience is a plus). Proficiency in Python . Experience building and managing large-scale data pipelines in the cloud (AWS). Strong experience in data ingestion and processing More ❯

solving mindset, taking initiative and owning your work. Must Have: 5+ years of experience in software engineering (or 3-4 years with strong qualifications). Strong experience with AWS (SageMaker experience is a plus). Proficiency in Python . Experience building and managing large-scale data pipelines in the cloud (AWS). Strong experience in data ingestion and processing More ❯

Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. LLM Deployment: Experience with local (cloud) deployment of OpenSource LLM, like LLAMA, DeepSeek. Bonus Points: Experience with Airbyte and Elastic Search is a significant More ❯

with an interest in exploring other languages. You have experience deploying ML and AI solutions in production on cloud platforms, working with cross-functional teams. Experience with AzureML or SageMaker is highly valued. You possess strong communication skills and experience presenting to clients and managing stakeholders. What does 'Get The Future You Want' mean for you? We promote a More ❯

complex distributed systems, management products, or business applications. Full-stack development experience with AI technologies and their application to user or backend solutions. Experience with AI tools such as SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python. Proficiency with front-end technologies (React, Angular, SwiftUI, Kotlin) and back-end technologies (Java, Typescript, Spring, Express). Experience with More ❯

CloudFormation or Terraform Monitoring and performance tuning of cloud-based applications and services Nice to haves: (MLOps): Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining ML Pipelines & CI/CD – Automate end-to-end ML workflows More ❯

systems, management products, or business applications. Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python. Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android). Back More ❯

systems, management products, or business applications. Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python. Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) or Back More ❯

Required technical skills: Coding proficiency in Python, and front-end development experience with Javascript/React. Proficiency development with services such as AWS Lambda, Step Functions, DynamoDB, AppSync, Bedrock, SageMaker, and CloudWatch. Proficiency in developing and integrating with REST-based or GraphQL-based APIs. Proficiency in developing infrastructure-as-code deployment solutions such as AWS CloudFormation or AWS CDK More ❯

performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps Pipelines or GitHub Actions . Comfortable working in Agile environments and contributing to iterative product 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 ❯