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Design and build automated data labeling systems for Dyson’s AI-powered devices, using active learning and weak supervision to reduce manual annotation while ensuring high-quality training data.
Lead a team to design and deploy automated data labeling pipelines for machine learning models, using techniques like Active Learning and Weak Supervision to reduce manual annotation in Dyson's connected device projects.
Designs and maintains automated machine learning pipelines, moving AI models from experimentation to production while ensuring scalability, observability, and security for Dyson's connected devices.
Design and build automated data labeling systems for machine learning models, reducing manual annotation using active learning and weak supervision, while integrating with Dyson’s data infrastructure.
Lead a team to manage data operations for AI/ML projects at Dyson, coordinating external partners, internal teams, and data labeling workflows to deliver high-quality training datasets for connected devices.
Senior AI Enablement Architect designs and guides enterprise AI solutions, focusing on LLMs, RAG, and AI agents, while mentoring teams and aligning AI initiatives with business goals.
Designs and deploys AI models and agentic workflows to automate, personalize, and enhance decision-making in Global Payments' FinTech platforms using ML, deep learning, and generative AI.
Build and deploy enterprise-grade AI applications for clients, focusing on agent systems, RAG pipelines, and evaluation tooling while integrating with existing IT infrastructure.
Lead the architecture and delivery of Nike’s next-generation digital product merchandising and creation platforms, leveraging cloud-native systems, AI/LLM workflows, and modern data engineering at scale.
Principal Technical Product Marketer crafts AI narratives for Guidewire’s insurance-grade AI assistants and agents, translating complex concepts into business value for executives, developers, and partners.
Designs, builds, and deploys generative AI and machine learning systems for virtual care, using Snowflake, Databricks, and MLOps tooling to power scalable AI-driven health products.
Leads AI/ML research and development for wealth management, building and deploying models like LLMs and recommender systems to enhance client experiences and advisor tools at a global financial firm.
Design and deploy machine learning models for Wealth Management clients, using Python, deep learning frameworks, and cloud platforms to build recommender systems, LLMs, and GNNs.
Leads AI quality engineering for Mastercard’s generative AI, LLM, and agentic systems, designing evaluation frameworks, red-teaming strategies, and LLMOps quality gates to ensure accuracy, safety, and reliability.
Senior AI Engineer at Mastercard designs and builds enterprise-scale generative AI systems, multi-agent orchestration, and multimodal pipelines using LLMs, RAG, and agentic frameworks to drive data-driven business insights.
Build AI models that turn real-time factory and lab sensor data into decisions for drug development and manufacturing at a global pharma company using Python, time-series forecasting, and streaming pipelines.
Build and evaluate AI-powered search and retrieval systems using RAG, semantic search, and generative AI for Elsevier’s scientific and healthcare platforms in London.
Build and evaluate AI-powered research tools for scientists using large language models, retrieval systems, and generative AI within Elsevier’s LeapSpace platform.
Senior AI Engineer partners with enterprise customers to design, build, and deploy predictive and generative AI solutions using Python, LLMs, and agentic frameworks like LangGraph or CrewAI.
Designs and governs enterprise cloud architectures for national security systems, ensuring interoperability, security compliance, and alignment with mission objectives in a classified environment.
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