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Build AI models for contact-center knowledge assist using Python and deep-learning frameworks like PyTorch or TensorFlow.
Design and deploy production-scale GenAI systems, including RAG pipelines, agent frameworks, and evaluation workflows, to power secure AI-powered identity features.
Designs and deploys enterprise-scale Generative AI systems, focusing on LLMs, agentic workflows, RAG pipelines, and scalable microservices for AI-driven applications.
Designs and builds AI/ML-powered features, models, and APIs to enhance customer products; collaborates with product and data teams to deploy scalable, high-performance AI solutions.
Own evaluation coverage for Agentic AI systems, focusing on LLM-judge metrics, benchmark dataset curation, and error analysis to support release-readiness for voice and chat solutions.
ML Engineering Intern on the Knowledge Assist team building RAG, generative knowledge assist, and enterprise search solutions for contact centers using Python and deep learning frameworks.
Build and scale enterprise AI systems using Python, transformer models, and RAG pipelines; design agentic workflows and optimize ML observability in a hybrid Montreal office.
Senior Data Scientist at Valtech designing and building AI/ML models for segmentation, forecasting, and experimentation to drive business outcomes.
Develops AI-driven user interfaces and data ingestion systems using React/Python, maintains production infrastructure via Terraform/AWS, and supports CI/CD pipelines with monitoring tools like Datadog/Splunk.
Leads the design and implementation of scalable data and AI platforms, collaborating with engineers to build impactful, sustainable solutions for societal projects.
Designs and develops AI-driven products, collaborates on architecture decisions, and mentors junior engineers in a startup environment focused on AI innovation.
Builds and maintains scalable backend APIs for an AI audio platform, optimizing performance and collaborating with cross-functional teams to enhance system reliability and innovation.
Senior Full-Stack Engineer building a GenAI platform that transforms decision-making in healthcare and other industries, involving full-stack application development and AI agent work in a distributed team.
Builds scalable infrastructure and services for a data/AI platform, focusing on distributed systems and cloud storage reliability using Java/Scala.
Design HCI interfaces for an AI-native proactive assistant, defining new interaction patterns for how users guide, review, and trust multi-step AI workflows using Figma.
Designs and enforces AI policy boundaries for conventional weapons use, balancing dual-use risks in modern weapons systems (software, autonomy, etc.). Translates technical threat models into actionable guardrails for AI models like Claude, collaborating with engineering, legal, and external experts.
Lead the design and delivery of an agentic digital assistant inside Microsoft Teams for a major financial services client, building LLM-driven features, RAG pipelines, and persona-driven reporting using Python, AWS, and GenAI/LLM technologies.
The Senior Database & Analytics Engineer will build and govern data foundations, transforming raw data into analytics-ready assets within an AI, Data & Analytics team. This hybrid role in Sydney involves managing the full data lifecycle and collaborating across the organization.
Designs and architects intelligent AI, cybersecurity, cloud and infrastructure solutions for public and private sector clients in London.
The Program Analyst B-2 will support mission-critical operations at Tinker Air Force Base, utilizing AI, cloud, and cybersecurity solutions to enhance agency efficiency and national security.
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