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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.
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, 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.
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.
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.
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.
Designs, builds, and deploys production-grade AI systems using LLMs and foundation models to automate clinical workflows in healthcare, focusing on reliability, scalability, and responsible AI.
Line of Service Internal Firm Services Industry/Sector Technology Specialism IFS - Information Technology (IT) Management Level Manager Job Description & Summary About the role: You’ll be joining our Data & AI…
Senior Machine Learning Engineer Join a vibrant team of machine learning engineers helping conceive, code, and deploy AI science models at scale using the latest industry tools. As a Senior engineer, you deliver…
Transform Maritime Intelligence with Cutting-Edge AI/ML Are you an experienced machine learning researcher ready to push the limits of AI in one of the toughest domains—maritime autonomy? At Tocaro Blue, your expertise…
Designs, deploys, and maintains AI/ML models and MLOps pipelines for federal agencies, using Python, TensorFlow/PyTorch, and cloud platforms like AWS/Azure/GCP.
Data Engineer/Scientist (Contingent) Location: On-Site – Springfield, VA Clearance Requirement: TS/SCI w/ CI Polygraph Salary Range: Relevant to experience ABOUT THE ROLE As a Data Engineer/Scientist supporting…
We’re seeking a highly skilled and innovative Senior AI Engineer to design, build, and optimize advanced artificial intelligence solutions that drive innovation and efficiency across AbsenceSoft’s leave management…
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