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Senior AI/ML scientist at Adobe building multimodal models for image/video editing, from research to product integration, with hands-on training, evaluation, and optimization of transformer/diffusion architectures.
Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services — and this is the role that leads it. The Head of AI Solutions is a newly created,…
Lead the design, build, and deployment of AI/ML and Generative AI solutions at a global pension plan, using Azure AI Foundry, LLMs, and MLOps pipelines to deliver business outcomes.
Build and optimize cloud-based data infrastructure for machine learning and analytics at a global financial data provider, using Python, ML frameworks, and AWS.
Develops AI-driven automotive systems using Python, LLMs, and agentic workflows, deploying scalable services on cloud and Kubernetes for in-vehicle infotainment and safety features.
Design and deploy ML solutions using AWS’s Neuron SDK, Inferentia, and Trainium accelerators for strategic customers, while driving adoption and thought leadership in cloud-based AI infrastructure.
Design and lead the AI platform architecture for a global telecom provider, integrating AI solutions with core infrastructure to enhance customer experience and operational efficiency across 85 million subscribers.
Senior Software Developer at Nokia in Portugal designing and building cloud-native, microservices-based network applications using Kubernetes, Python/Go/Java, and telemetry pipelines.
Lead the design, development, and deployment of machine learning systems at scale for a major bank, collaborating with data science and product teams to productionize ML models using cloud platforms and distributed computing.
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.
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.
Develops low-level GPU profiling libraries and tools that help developers debug and optimize performance for compute and graphics workloads on NVIDIA hardware.
Develops, deploys, and monitors machine learning models in a healthcare rehab lab, using Python, TensorFlow/PyTorch, and Git to support AI-driven patient care systems.
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.
Design and build autonomous AI agents for enterprise automation, integrating with systems like ERP and CRM to optimize supply chain and customer experiences using Python, LLMs, and cloud AI services.
Senior AI Engineer builds, deploys, and operates LLM-powered insurance applications like copilots and RAG systems using AWS, Databricks, and Claude/OpenAI tools, while ensuring governance and reliability.
Research Fellow at NTU’s National Centre for Research in Digital Trust to develop trustworthy digital content, AI systems, and forensic tech for financial crime detection and AML using machine learning and cybersecurity tools.
Build and deploy AI-driven agentic systems and LLM-powered applications using Python, LangChain, and vector databases for automotive infotainment and connected ecosystems.
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.
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