3,751 to 3,775 of 8,935 AWS Jobs

workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput … systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. ...

workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput … systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. ...

workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput … systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. ...

workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput … systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. ...

workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput … systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. ...

workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput … systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. ...

workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput … systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. ...

workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput … systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. ...

workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput … systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. ...

workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput … systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. ...

ability to link technical decisions to business outcomes (e.g., TCO, speed to market).Cloud & Integration Fluency: Proven experience across one or more cloud platforms (AWS, Azure, GCP, IBM), including PaaS and API gateway, IaaS including but not limited to network design, connectivity patterns, zero trust IAM, compute, storage backup ...

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. Shared energy You’ll be bringing your unique skills and perspectives to the team, inspiring and taking ...

experience leading and coaching engineering teams Significant hands-on Java Spring and Kafka expertise Background in betting/gaming technology Cloud-native development experience (AWS preferred; Docker & Kubernetes beneficial) Deep understanding of scalable, resilient, and observable production services Familiarity with risks of AI-assisted engineering Advanced skills in RDBMS (PostgreSQL ...

platformsStrong problem-solving skills and the ability to work across hardware and software boundariesBonus: low-power wireless (Thread, Zigbee, BLE); cloud IoT services on AWS, Azure or GCP; secure boot, TPMs, secure elements or hardware attestation; EMC/RF testing, antenna bring-up or factory test; awareness of standards such ...

software engineering skills with hands‐on experience developing solutions in Python; Experience designing, deploying, and operating Kubernetes-based platforms at scale; Experience working within AWS, Azure, GCP, or comparable cloud environments; Strong understanding of distributed systems, application architecture, cloud-native deployment patterns, and engineering best practices; Proven ability to evaluate ...

Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit‐learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost, latency, performance, security, and scaling ...

scalable processes without losing sight of high‐touch customer needs. VMCE certification preferred, or ability to complete within an agreedtimeframeafterhire. Preferred industry certifications include AWS Solutions Architect, Microsoft Azure Administrator, Microsoft Azure Solutions Architect Expert, or similar cloud and infrastructure certifications. What You’ll Get 25 paid vacation days, plus ...

Excellent stakeholder engagement, mentoring, and knowledge transfer capabilities. Skills We'd Like Experience migrating data integration workloads to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Knowledge of modern data engineering, data warehousing, and analytics ecosystems. Additional Requirements Candidates must be eligible to obtain and maintain ...

engineers to implement features across our estate of cloud native software products and services. We’re working in modern JavaScript/TypeScript, hosted on AWS with Kubernetes, with a fully automated continuous integration pipeline. This permanent position is based in our London Kings Cross office. The close date for this … applications written with ECMAScript, TypeScript, Node.js, React, Next.js, etc Experience designing and developing HTTP APIs in Node.js Understanding of DevOps/modern infrastructure practices (AWS, Docker/Kubernetes, CI, etc) and a desire to learn more Experience in (automated) testing (unit, integration, E2E, etc) and a keen interest in testing ...

secure network architectures to meet the evolving needs of a hybrid cloud environment. Cloud Networking Expertise Architect and manage cloud-based network solutions (e.g., AWS, Azure, GCP) to support a range of applications and workloads. Ensure high availability and performance of network services in cloud environments, leveraging virtual network functions ...

similar object-oriented programming languages, or Scala or Kotlin or similar functional languages Proven experience building and operating scalable distributed systems and services within AWS cloud infrastructure or similar technologies. You have experience formally mentoring at least 3 individuals and driving technical design end to end for at least ...

capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies eg. AWS, GCP or Azure. Specialised visualisation techniques eg. D3.js, ggplot etc. Strong verbal/written communication & data presentation skills Awareness of Large Language Models (LLMs ...

more technical disciplinesAbility to design and implement effective cybersecurity and technology controlsSubject matter expert-level knowledge of Google Cloud Platform, Azure, and/or AWS with how controls are applied to secure data and maintain availability. Good knowledge of cloud services such as PaaS, IaaS, and SaaS and Kubernetes solutions ...

above or are eligible and willing to go through clearance You have experience working with security controls within cloud-based infrastructure (e.g Azure, AWS, GCP). This may include design, configuration, or protective monitoring. Knowledge of digital identity and authentication systems Experience applying data classification, handling requirements, data residency ...

above or are eligible and willing to go through clearance You have experience working with security controls within cloud-based infrastructure (e.g Azure, AWS, GCP). This may include design, configuration, or protective monitoring. Knowledge of digital identity and authentication systems Experience applying data classification, handling requirements, data residency ...