26 to 50 of 75 Amazon SageMaker Jobs

skills in Python, with experience building scalable services, APIs, and production-quality code Experience with modern ML tooling and platforms (e.g.Databricks,MLflow, Airflow, Kubeflow, SageMaker, Vertex AI) Familiarity with CI/CD pipelines and infrastructure-as-code (e.g.Terraform, CloudFormation) Experience building robust, maintainable, and testable ML pipelines and APIs ...

Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment. Excellent communication and a drive ...

preferred). Hands-on experience with GCP Vertex AI(model endpoints, pipelines, embeddings, vector search)or equivalent cloud-nativeAI/ML platforms (e.g. AWS SageMaker, AzureML) andagentorchestration frameworks(e.g.LangChain,LangGraph, ADK). Solid understanding ofMLOps - CI/CD,IaC(Terraform), experiment tracking, model registry, and monitoring. Proven experience deploying ...

equivalents in Azure or GCP), with hands‐on work across classical ML and modern LLM/RAG systems using services like Amazon SageMaker and Bedrock. What you’ll do Partner with stakeholders across the business to explore high‐impact opportunities. Own the full lifecycle: problem framing, data discovery … building RAG systems. Orchestration: for example LangChain for pipelines/agents. RAG best practices and evaluation workflows (e.g., agentic/RAG patterns on SageMaker). Comfortable choosing the right technique for the job (from baselines to advanced models), with an emphasis on measurable impact and maintainability. Clear communication with ...

operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation). Job Info Job Identification 173968 Job Category Associate Posting Date 05/21/ ...

video, audio) ML pipelines.* Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker).* Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes).* Proficiency with Linux environments and cloud platforms (e.g. ...

balance technical depth with speed and business impact. You’ll really thrive in this role if you have: Proven experience with AWS, including SageMaker, Bedrock, Lambda, S3, and Redshift. Familiarity with MLOps best practices: evaluation, deployment, monitoring, and iterative improvement. Experience in Adtec, Media, or fraud detection. Hands ...

systems in production or a very strong software‐engineering background with clear motivation to grow into ML and MLOps. Additional Experience & Capabilities Using AWS SageMaker for training, deploying, and operating machine-learning workloads, or demonstrating equivalent experience on similar cloud ML platforms. Exposing machine-learning models via APIs (e.g. ...

Experience Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using frameworks like Autogen and LangGraph . Solid grounding in MLOps , containerisation ...

training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker* Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector ...

documentation and collaborate across engineering teams. Ecosystem Knowledge : Hands‐on experience supporting software delivery and MLOps tooling (e.g., Kubernetes, Kubeflow, MLflow, Triton, Docker, or SageMaker/Azure ML). Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment for all of our employees ...

experience in using one of 3 major cloud technologies ( AWS, Azure or GCP ) in a production environment, as well as ML platforms ( e.g., AWS Sagemaker, Azure Machine Learning studio ) Be a ‘lifelong learner’ and can demonstrate a drive to always be learning and developing your skillsets and develop ...

understanding of model capabilities and limitations—not just using AI to generate code. Highly desirable: EdTech or Education experience Java Terraform Kubernetes LangChain, Bedrock, SageMaker or similar GenAI tooling OAuth/JWT This is an excellent opportunity to join a global organisation at the forefront of AI innovation, building ...

Technology Stack Backend: TypeScript, Node.js, C#, .NET Infrastructure: AWS (ECS, Lambda, SQS, DynamoDB), Terraform Architecture: Microservices, Event‐driven architecture Data & ML: Python, AWS SageMaker, S3, Redshift Why Join Alto? This role gives you genuine ownership of ML capability at a company that processes more housing transactions than anyone else ...

Swift on iOS. Data: SQL, Python, Snowflake, dbt, Airflow & Looker AI at Marshmallow: Sierra.ai for conversational AI, Python and LangChain for agentic AI solutions, Sagemaker and MLflow for Machine Learning, Cursor and Claude Code for developer productivity. What you'll be doing Drive commercial impact at every turn: Proactively ...

Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores, and agentic architectures. Hands-on familiarity with platforms like Databricks, Snowflake, SageMaker, or Vertex. Agent lifecycle management, observability, and governance frameworks.Agentforce & Salesforce Platform Deep architectural understanding of how Data and AI are activated within Salesforce — including ...

Familiarity with cloud‐based application development (AWS & Azure). Familiarity with one or more ML frameworks and technologies: scikit‐learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton. Strong communication skills, able to express ideas clearly and collaborate across teams. #J-18808-Ljbffr ...

Preferred Qualifications, Capabilities & Skills Product management experience for AI/ML, MLOps, or data platforms. Familiarity with MLOps concepts and frameworks, such as MLflow, Amazon SageMaker, and feature stores. Familiarity with AI concepts, such as Retrieval‐Augmented Generation (RAG), agentic system architectures, evaluation of LLMs and agents … Model Context Protocol (MCP). Hands‐on experience with or solid understanding of Amazon Web Services (AWS). Understanding of cloud architecture and the software development lifecycle. Experience coaching and mentoring other product managers and setting a high bar for execution. Experience operating at scale in highly available, secure ...

production. Experience with AutoML frameworks. Strong understanding of regression, forecasting, and predictive analytics. Data engineering and pipeline development capability. AWS ML deployment experience (e.g. SageMaker, ECS, Lambda). Practical MLOps experience. Excellent stakeholder management and consulting skills. Experience mentoring data science teams. AWS-native ML tooling and cloud architecture ...

rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access — self‐service provisioning, entitlement workflows, one‐click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups. Collaborate with Engineering, Design & Data Science ...

organisation. What We Are Looking For MLOps & DevOps Tooling: Proven track record of working with systems such as ArgoCD, Kargo, Jenkins, Vertex AI, SageMaker, and similar platforms. ML Infrastructure Experience: Proven track record of working on ML research and production infrastructure. Infrastructure as Code: Knowledge of IaC tools such ...

ability to present complex information through clear and compelling data visualisations, ideally using Tableau Experience of cloud-based data science technologies, ideally including AWS SageMaker, AWS Bedrock and Snowflake , would be highly desirable A passion for continuous learning and staying up to date with emerging data science tools, technologies ...

expand from a GCP‐first environment to a hybrid AWS and GCP architecture. Define GPU compute strategy across Kubernetes, Vertex AI and SageMaker, balancing performance, scalability and cost efficiency. Drive the production adoption of Generative AI and LLM capabilities, establishing best practices for evaluation, deployment, experimentation and governance. Collaborate ...

content classification, synthetic panels, model validation). Experience with data platforms such as Databricks, snowflake or other cloud native solutions (GCP big query, AWS sagemaker). Solid understanding of agile practices. Any experience in SAFe is considered a plus. How we work Fifty5Blue’s core values are: Clarity, Independence ...

implementation. Required Skills & Experience Deep experience architecting and scaling enterprise-grade AI/ML systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams ...