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Build and run the SecOps function end-to-end at Fireworks AI, leveraging CrowdStrike (EDR/SIEM), SOAR automation, and Python to establish detection engineering, incident response playbooks, and threat intelligence.
This role involves building security solutions for on-premise and multi-cloud environments within Apple's AI & Data Platforms team. The engineer will utilize Java or Python to implement security measures, including identity management and encryption, while leveraging GenAI and machine learning for anomaly detection.
Senior Data Scientist bridging ML research and production, owning end-to-end pipelines, observability, and platform reliability for LLM/agent systems at an AI-first software company.
The Director of Hardware Engineering will lead the end-to-end development of Veo's AI-powered sports camera portfolio, managing cross-functional teams across optics, electronics, and mechanics. This role involves setting technical roadmaps, overseeing mass production, and driving agile engineering processes to deliver high-quality hardware at scale.
Builds and maintains scalable Java-based microservices on Kubernetes, designs reusable UI components, and sets engineering standards for an AI-powered automation platform.
Designs and implements enterprise-grade Azure cloud infrastructure for data, analytics, and AI workloads using Terraform and Azure DevOps, ensuring scalability, security, and automation.
This role involves building and maintaining scalable, cloud-based data platforms and distributed systems to support AI-powered innovation at Apple. The engineer will design, develop, and ship enterprise-level applications using Python, Scala, or Java, while integrating open-source software with internal ecosystems.
The C-BRAIN Technical Product Manager at Washington University in St. Louis manages technical product development for a healthcare and AI-focused initiative. This is a remote, full-time position based in the United States.
A Secure AI Engineer works on developing and implementing secure artificial intelligence systems, ensuring AI technologies are protected against vulnerabilities and threats while maintaining functionality and performance.
The Senior Data & AI Engineer designs and builds data engineering, cloud, and generative AI applications while advising clients and presenting insights to stakeholders. The role involves end-to-end data solution development and collaboration with project teams.
The Jet Propulsion Laboratory is seeking a postdoctoral researcher to focus on machine learning downscaling techniques.
Builds scalable cloud data platforms and AI solutions on AWS, collaborating with cross-functional teams to develop GenAI apps and production-grade data pipelines.
The Lead Data Science Consultant will lead complex R&D and AI projects for enterprise clients, bridging the gap between technical teams and business stakeholders. The role involves architectural decision-making, stakeholder management, and mentoring within the Hybrid Intelligence team.
Build and maintain AI/ML pipelines and data infrastructure for Roamler’s OOH Location Database and product suite, enabling ML/NLP enrichment and embeddings for European brands.
Bask Health is seeking a full-stack engineer to build and scale their AI-first telehealth platform using a modern stack including Next.js, TypeScript, tRPC, and SST. The role involves end-to-end ownership of product features, utilizing AI tools like Cursor and Claude to accelerate development in a fast-paced startup environment.
The AI Engineer will design, build, and deploy AI-powered full-stack applications for the public sector, utilizing LLMs, RAG, and AI agents. The role involves developing both frontend and backend components while integrating automation workflows and AI models into governance and audit tools.
Senior AI Engineer builds, deploys, and scales AI-driven data products using Python, SQL, and cloud-native tools like Azure and Databricks.
Sidetrade is seeking a DevOps Engineer to design and maintain their private cloud infrastructure using Linux, Ansible, and Hyper-V. The role involves managing containerized applications, monitoring system health, and ensuring high availability for their AI-driven Order-to-Cash platform.
The Machine Learning Engineer will design, train, and validate computer vision models for autonomous flight systems in safety-critical environments. The role involves managing the full ML lifecycle, including model architecture, evaluation pipelines, and integration with real-world aerospace systems.
Build and deploy scalable conversational AI agents handling voice, chat, email, and APIs using Python, cloud platforms, and agentic frameworks like LangChain.
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