2,951 to 2,975 of 8,950 AWS Jobs

staff (interviews, assessments), and contributing to training materials to achieve curriculum outcomes. Requirements Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS, Azure). Hands‐on knowledge of designing and implementing Data Science solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

Liquidity and IRRBB reporting governance, control oversight, and data quality management activities. Contribute to the adoption and utilisation of strategic technology platforms, including Snowflake, AWS-based data services, Python, SQL, and AI-enabled productivity and analytical tools. Prepare materials and presentations for governance forums, senior management, and regulatory engagements. Analyse ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

post-deployment triage with design-stage security input across Engineering, Product and Pre-Sales. Job requirements Demonstrable and considerable experience in cloud security architecture (AWS essential and Azure), including IAM design, network segmentation, and secrets/KMS management. Hands-on DevSecOps experience: CI/CD pipeline security, Infrastructure-as-Code … stack (Entra ID, Defender for Endpoint, Intune), given PCI Pal’s existing Zero-Trust investment. Container/Kubernetes security experience. Relevant certification: CISSP, CCSP, AWS Certified Security Specialty, or equivalent. Experience operating within a PCI DSS Level 1 service provider or merchant environment. Prior experience transitioning a function from reactive ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.**Why we’re different**At Capgemini, we help organisations across the world become more agile, more … meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. #J-18808-Ljbffr ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

modelling tools (e.g., Sparx EA, BiZZdesign, Abacus, etc.).Knowledge of solution architecture principles, design patterns, and modelling notations. Familiarity with major cloud technologies (Azure, AWS, Google Cloud) and integration techniques. Palantir experience would be beneficial. Experience managing technical risks and providing quality assurance for deliverables. Strong understanding of IT system ...

possess strong Python skills and solid experience in software engineering best practices. You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou ...

solving skills with the ability to troubleshoot complex data integration challenges. Skills We'd Like Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Knowledge of modern data warehousing, analytics, and cloud‐native data integration services. Additional Requirements Candidates must be eligible to obtain ...

solving skills with the ability to troubleshoot complex data integration challenges. Skills We'd Like Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Knowledge of modern data warehousing, analytics, and cloud‐native data integration services. Additional Requirements Candidates must be eligible to obtain ...

ownership: Manage projects from idea to design, implementation, and production with minimal oversight. Tech stack: Python-based services (plus Ruby and TypeScript), deployed on AWS with Kubernetes; comfortable building production services in Python and understanding cloud infrastructure. Strong judgment and initiative: Make sound technical decisions in ambiguity, take initiative across ...

Finance apps). Ability to enforce coding standards, reusable component frameworks, and conduct technical reviews. Working knowledge of SAP on Cloud (Azure, AWS, GCP). Strong understanding of SAP security architecture, roles/authorization, SSO, encryption, and compliance requirements. Proven experience leading SAP technical tracks in large implementations, migrations ...

approach to engineering. Preferred Technical And Professional Experience Experience building Kubernetes controllers or operators. Experience with gRPC, Protobuf, or API design. Experience working with AWS, GCP, Azure, or cloud-provider integrations. Familiarity with multi-tenant systems or workload isolation. Experience with observability tools and operational best practices.Experience with containerized applications ...

standards, and deployment patterns (CI/CD, IaC) that enable autonomous microservices teams to ship code safely and rapidly. Cloud-Native Strategy: Lead our AWS strategy, optimizing resource utilization, latency, and cost while leveraging managed services to improve developer velocity. Drive Security & Compliance: Integrate security-by-design principles into … tier global investors and led by the ex-APAC CEO of Circle, our leadership team spans Circle, Airwallex, Revolut, Wise, Grab, Zoom, AWS, and leading OTC desks. We ve scaled from zero to nearly a million users at ridiculous speed. #J-18808-Ljbffr ...

operational data models A keen interest in AI technologies Desirable: Comfortable with Data Warehouse methodsandtechniques Actively shares their thoughts and views on data practices AWS/Azure/GCP Certified in Data Services Expertise in continuous improvement and sharing input on data best practice Participation in development and/ ...

meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.Flexibility to work your wayYou will be encouraged to have a positive work-life balance. Our hybrid-first ...

full‐stack expertise across Python, Node.js, and React, with a proven track record of designing high‐scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP). Expert ability to design and oversee production‐grade ecosystems, ensuring world‐class standards for system integrity, security, and long‐term ...