26 to 50 of 85 Permanent Amazon SageMaker Jobs

scikit, pytorch, tidyverse, caret, ggplot, etc.).Proven experience developing, refining, and monitoring NLP models.Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required.Understanding model evaluation methods and metrics.Ability to operationalize non-technical ideas into relevant research designs, features, and model ...

tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required. Understanding model evaluation methods and metrics. Ability to operationalize non-technical ideas into relevant research designs, features ...

runbooks. Your Story5+ years' experience in ML Engineering, MLOps, or similar roles. Proficiency in Python. Experience with a managed machine learning platform such as Amazon SageMaker or an equivalent service. Practical knowledge of deploying and operating containerized workloads using Docker and Kubernetes. Experience developing or operating model-serving ...

Hadoop, Snowflake, Databricks, PySpark, Teradata, Oracle, SQL Server, Azure Machine Learning & Analytics: XGBoost, SVM, Random Forest, kNN, Cosine Similarity, NLP, Alteryx, AWS SageMaker, Tableau Tools/Frameworks: Git, GitHub, Flask, NodeJS, ReactJS, Next.js, TypeScript, D3.js, Chart.js, Recharts, REST API, Django, Docker, Kubernetes, Terraform, Jenkins, JIRA, Sonatype Nexus, GitHub Copilot ...

agentic systems and the AIOps tooling behind them, ideally using AWS Bedrock AgentCore or similarExperience with managed or self-hosted ML infrastructure, such as Amazon SageMaker, feature stores (e.g. Feast) and DAG tooling (e.g. Airflow, Metaflow, or similar)Experience with model experiment tracking, ideally MLflow or Weights & Biases ...

hands-on practice in Python.Familiarity with popular machine learning libraries and frameworks such as scikit-learn, Hugging Face, PyTorch and TensorFlow.Experience with MLFlow, AWS SageMaker and Bedrock is preferred.Familiar with MLOps concept, SQL and PySparkExperience with feature stores, machine learning models as service, and monitoring dashboards is a plus.Some ...

problem statements and figure out how to solve themSome extra skills that are great (but not essential): Experience with MLOps tools: Airflow, MLflow, AWS SageMaker, AWS S3, AWS EMR, CI/CDPrior experience in the fraud domain and a strong understanding of fraud detection techniquesExperience designing and deploying ...

deliverables, and build trusted client relationships; hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI) Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers ...

deliverables, and build trusted client relationships; hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI) Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers ...

deliverables, and build trusted client relationships; hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI) Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers ...

senior manager or executive role leading cross-functional teams. Strong familiarity with core technical stack - cloud data ecosystems (eg. Snowflake, Databricks, Vertex AI, AWS Sagemaker).Experience moving to modern data architecture environment, with Deep Datawarehouse/lakehouse (AWS Redshift, Databricks), streaming/batch, APIs, data products, ELT, CDC, structured ...

Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) Machine Learning: Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQLLLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search ...

Strong Generative AI architecture experience, including LLM hosting, RAG, vector databases, prompt orchestration and guardrails. Knowledge of AI platform tooling such as Azure ML, Amazon SageMaker, MLflow, Kubeflow and Databricks . Ability to evaluate technologies and make evidence-based architectural decisions. Experience designing secure, scalable and cost-optimised ...

production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker Strong understanding of RAG, agentic AI and multi-agent architectures Experience with CI/CD, cloud infrastructure and application deployment Comfortable working directly with ...

production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker Strong understanding of RAG, agentic AI and multi-agent architectures Experience with CI/CD, cloud infrastructure and application deployment Comfortable working directly with ...

offs. Real-time ML & reproducibility: A strong grasp of production inference patterns and reproducible environments (Docker, MLflow or equivalent). Cloud & tooling: AWS, plus SageMaker, Snowflake, Spark/Databricks and Kubernetes. Engineering mindset: A focus on reliability, maintainability and continuous improvement. ...

Desirable Skills: Application & Integration Technologies C# .NET Entity Framework JavaScript React Vue.js Windows Presentation Foundation (WPF) REST APIs Microservices architecture AI & Data Technologies AWS SageMaker Large Language Model (LLM) integrations AI-assisted analytics solutions Python-based data analysis tooling Architecture & Governance Enterprise cloud architecture Security architecture and secure ...

ethics An understanding of data safety in use of Large Language Models Knowledge and experience of either AWS or Azure: AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2) Azure (azure Open AI service, Cosmos DB) Python LangGraph Neo4j/cypher Other coding languages/frameworks e.g. Java/.Net ...

Python, Java, etc) in support of Investment Portfolio Management and Construction Utilizing AWS technologies such as Lambda, API Gateway, DynamoDB, S3, Glue, Redshift, EMR, Sagemaker, EKS/ECS. Working in a team with experienced software engineers to identify great projects and features that will help you grow in your ...

ethicsAn understanding of data safety in use of Large Language ModelsKnowledge and experience of either AWS or Azure: AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2)Azure (azure Open AI service, Cosmos DB)PythonLangGraphNeo4j/cypherOther coding languages/frameworks e.g. Java/.NetAI RAG (retrieval augmented generation)Graph RAGFew ...

with MLOps tools, containerisation (Docker), and orchestration (Airflow/Dagster) is essential. Experience with Cloud platforms (GCP/Vertex AI preferred, or AWS/SageMaker) and handling large datasets via SQL/BigQuery. A proactive mindset with the vision to spot new opportunities for data-driven improvements in promotional ...

/CD and a cloud platform, and debugging from logs and traces. Nice to haveAgents used daily by operators, with a feedback loop. AWS SageMaker, AWS ECS/Fargate, Terraform and CircleCI.Snowflake and dbt. Event logging for analytics or machine learning. Lead generation or ad tech. ...

Oracle, PostgreSQL, SQL Server etc.Excellent problem-solving and interpersonal skills.Preferred Qualifications: Experience with machine learning frameworks and tools such as Azure ML Studio, AWS Sagemaker etc. Knowledge of real-time data processing and stream analytics such as Apache Kafka, Azure Event Hubs or similar. Hands on experience with real ...

across both established enterprise approaches and modern data patterns, including: Cloud-native data platforms (AWS, Azure, GCP). Snowflake, Microsoft Fabric, and/or SageMaker (multi-platform experience advantageous). Data lake and lakehouse architectures. Event-driven and streaming architectures. Data Mesh and/or Data Fabric principles (applied ...

building cloud-based databases, data lakes, and data warehouses Experience using tools such as Azure's Machine Learning and Cognitive Services; AWS's SageMaker, Polly and Rekognition; DataRobot; or H2O.ai About ITC Digital Solutions: ITC Digital Solutions, a division of ITC Federal, delivers advanced technology solutions that help federal ...