76 to 100 of 232 Open Source Jobs

components including foundation model training, large language model 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 ...

components including foundation model training, large language model 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 ...

components including foundation model training, large language model 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 ...

components including foundation model training, large language model 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 ...

components including foundation model training, large language model 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 ...

components including foundation model training, large language model 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 ...

components including foundation model training, large language model 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 ...

capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor ...

capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor ...

enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers … components including foundation model training, large language model 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 ...

enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers … components including foundation model training, large language model 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 ...

detection accuracy Assess SIEM architecture and recommend improvements across ingestion, parsing, correlation, and storage Implement automation and orchestration (SOAR) to streamline security operations Log Source Onboarding & Integration Identify and onboard log sources across cloud, network, endpoint, identity, and application layers Develop custom parsers, connectors, and ingestion workflows Collaborate with … Data Loss Prevention (DLP) Network security and secure remote access solutions Cloud and software-defined environments (SaaS, IaaS, PaaS, DaaS) Cyber threat intelligence and open-source intelligence tools Disaster recovery and business continuity planning Knowledge of data privacy regulations Additional Information Some out-of-hours work ...

maintain infrastructure for deploying, monitoring, and scaling AI models in production Integrate cloud and/or locally hosted LLMs (e.g. OpenAI, Anthropic, Azure OpenAI, open-source models) into live products Build RAG pipelines, agentic workflows, and prompt/conversation systems Collaborate with data, product, and engineering teams ...

Vector databases and semantic search AI evaluation and monitoring Real Time user interactions Technical Environment Next.js Python Node.js SQL/NoSQL OpenAI, Anthropic and open-source LLMs DevOps - Docker/Kubernetes AWS, Azure or GCP Compensation Compensation is intentionally flexible and assessed based on experience, ownership, and production ...

high-throughput services End-to-end ownership of Back End systems in production Technical Environment Python Node.js SQL/NoSQL OpenAI, Anthropic and open-source LLMs Vector databases and retrieval systems DevOps - Docker/Kubernetes AWS, Azure or GCP Compensation Compensation is intentionally flexible and assessed based ...

bias towards shipping, measuring outcomes, and iterating quickly Technical Environment Python PyTorch/JAX GPU-based training and inference systems OpenAI, Anthropic and open-source models SQL/NoSQL Docker Kubernetes AWS, Azure or GCP Compensation Compensation is intentionally flexible and assessed based on experience, ownership, and production ...

Kubernetes (e.g. GKE). Familiarity with GCP networking and security controls - VPC, VPC Service Controls (VPC-SC), and private connectivity. Contributions to relevant open-source projects. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records ...

manual testing. Confident with building and maintaining frameworks in one or more of these languages: Java, JavaScript, Python, or C#. Have practical experience with open source tools such as: Cypress, Karate, PlayWright, Selenium or similar. Worked in an agile environment. Develop and maintain high-quality automated test scripts ...

success and leading by example. You will: Design and Develop: Build and support automation or performance test frameworks using the most appropriate solutions. Whether open source or commercial, or a combination. Collaborate with Clients: Work closely with clients to understand their requirements and create tailored QA strategies. ...

Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related ...

Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital ...

components including foundation model training, large language model 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 ...

components including foundation model training, large language model 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 ...

components including foundation model training, large language model 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 ...

smoke tests using Test-Driven Development practices. Select appropriate automation-testing approaches per application and drive implementation, including the use of AI coding assistance. Source suitable test data and implement secure data masking for lower environments. Conduct vulnerability triage, root-cause and dependency reachability analyses, remediation prioritization, secure code … changes, and regression testing. Upgrade Java, JVM, NPM, Spring, open-source libraries, internal dependencies, installed software, base images, and operating systems to supported versions. Establish sustainable dependency-management processes with continuous library updates using Renovate or equivalent tools. Modernize legacy applications and middleware stacks, including those deployed ...