analytical person with a bias for action. What Technologies We Use: Python, dbtLabs, SQL, GitHub Actions (CI/CD) Terraform, Docker, MLOps Platform (VertexAI, Sagemaker and MLFlow) With ecobee, you'll have the opportunity to: Be part of something big: Get to work in a fresh, dynamic, and ever More ❯
San Francisco, California, United States Hybrid / WFH Options
esrhealthcare
datasets. Optimize embeddings for semantic search and document retrieval tasks. Model Deployment & Optimization: Deploy ML models in production environments using cloud platforms like AWS SageMaker, ECS or equivalent tools. Ensure scalability, reliability, and low latency in production systems while monitoring model performance. Implement CI/CD pipelines for ML … Opensearch, Pinecone, Weaviate). API Development: FastAPI, Flask, Django Containerization: Docker, AWS ECS, Kubernetes Cloud & Data Tools: Experience with cloud platforms such as AWS (SageMaker preferred), GCP Vertex AI, or Azure ML for deploying ML models. Familiarity with SQL or NoSQL databases for data extraction and preprocessing tasks. Problem More ❯
Cleveland, Ohio, United States Hybrid / WFH Options
SMART DESIGN
Keras) Experience with NLP and computer vision models Strong understanding of machine learning algorithms and statistical modeling Experience with cloud-based AI platforms (AWS SageMaker, Google Cloud AI Platform) Excellent problem-solving and communication skills More ❯
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 More ❯
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 More ❯
including GitHub Actions or GitLab CI 5+ years of experience with AWS services and cloud-native architecture patterns, such as ECS, Lambda, SQS, SNS, SageMaker, RDS, DynamoDB, IAM policies, security groups, and network security 3+ years of experience with Infrastructure as Code, including AWS CDK, Terraform, or CloudFormation 3+ More ❯
world can't wait. You Have: 5+ years of experience with AWS services and cloud-native architecture patterns such as ECS, Lambda, SQS, SNS, SageMaker, RDS, DynamoDB, IAM policies , security groups, and network security 3+ years of experience with containerization such as Docker, Kubernetes, ECS, and container orchestration 3+ More ❯
Hook, Hampshire, United Kingdom Hybrid / WFH Options
360 Resourcing Solutions
grow a diverse team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad data product-set and drive forward the delivery of new products and product features. Strong More ❯
Job Title: Risk Manager, Innovation Amazon emphasizes that it never requests fees or deposits during recruitment. For safety, click here to learn more and protect yourself from fraud. Location: Available at any CORP location in EMEA including London, Manchester, Paris, Madrid, Barcelona, Luxembourg, Milan, Munich, Leipzig, and others. Role … Overview The Risk Manager, Innovation supports Global Security Risk Management & Resilience by leading initiatives that convert complex risk data into actionable insights across Amazon's global operations. This role combines traditional risk management with advanced analytics, technology, and automation to improve risk identification, assessment, and response. Responsibilities include designing … tasks include managing risk data pipelines, identifying automation solutions, supporting technology integration, and collaborating with engineers and analysts. About the Team The team secures Amazon's supply chain end-to-end by creating a comprehensive risk framework for business continuity. They leverage analytics and technology to assess risk levels More ❯
working with large data sets with a mathematical and analytical mindset, they are looking for senior engineers to join the team working with AWS SageMaker for AI and ML as well as research and cleansing of data sets. More ❯
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 ❯
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 ❯
/CD tools (e.g., GitHub Actions, GitLab CI) 5+ years working in AWS environments 3+ years with cloud-native technologies: ECS, Lambda, SQS, SNS, SageMaker, RDS, DynamoDB 3+ years experience with container orchestration (Docker, Kubernetes, ECS) 3+ years experience in security configuration (IAM, secrets management, DevSecOps tools) Experience with More ❯
Segment Commercial Tooling: Hubspot, Planhat, Intercom Company & Customer Analytics: Looker AI Tools & Frameworks: (to be built upon) TensorFlow/PyTorch for model development. AWS SageMaker or Vertex AI for scalable model deployment. OpenAI APIs or Hugging Face for generative AI applications. What are the benefits? People are our core 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 ❯
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 More ❯
data. Understand the PMML and ONNX model portability standards. Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O. Have strong hands-on programming skills in at least one major analytic programming language and/ More ❯
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 ❯
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 ❯
Kafka, NoSQL, Airflow, TensorFlow, or Spark. Finally, experience with cloud platforms like AWS or Azure, including data services such as Apache Airflow, Athena, or SageMaker, is essential for the Mid-level. The Role: Build and maintain scalable data pipelines. Design/implement optimised data architecture. Develop ETL processes for More ❯
DESCRIPTION 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 AWS solutions that meet their technical requirements and 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's … and frameworks such as PyTorch, TensorFlow, and practical experience in solving complex problems in an applied environment - Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2, as well as experience with machine learning, deep learning, NLP, generative AI, distributed training, and model hosting AmazonMore ❯
Delivery Practice Manager - Data Analytics, ASEAN Professional Services The Amazon Web Services Professional Services (ProServe) team is seeking an experienced Delivery Practice Manager (DPM) to join our ProServe Shared Delivery Team (SDT) at Amazon Web Services (AWS). In this role, you'll manage a team of ProServe … the ability to translate technical concepts into business value for customers and then talk in technical depth with teams, you will cultivate strong customer, Amazon Global Sales (AGS), and ProServe team relationships which enables exceptional business performance. DPMs success is primarily measured by consistently delivering customer engagements by supporting … 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 ❯
