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Develop and deploy machine learning models and data pipelines to support AI solutions in healthcare aesthetics, using Python, cloud platforms, and MLOps practices.
Senior Data Scientist at Deloitte’s SFL Scientific team designs and deploys AI/ML models for clients, solving complex problems in areas like healthcare, autonomous systems, and consumer products using Python, PyTorch, and cloud platforms.
Designs and deploys AI/ML systems to solve banking challenges, focusing on generative AI, agentic systems, and analytics while ensuring regulatory compliance and integrating solutions with existing infrastructure.
Lead the technical strategy and execution for Quantiphi’s AWS AI/ML services, guiding pre-sales, client engagements, and packaged solutions using AWS SageMaker, Bedrock, and related AI/ML tools.
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,…
Senior MLOps engineer at Dyson to industrialize AI models, building automated pipelines from data curation to production deployment using cloud platforms and orchestration tools.
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.
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.
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.
About KOMOJU KOMOJU is the leading cross-border payment gateway for Japan. We power payments for companies like video game distribution platform Steam and the popular mobile app TikTok. Today we help thousands of…
About CACI Data Engineering CACI has implemented a Data Platform that supports and enables a Data Mesh organisation. It uses AWS technology to provide a unified experience across AWS services to deliver an open…
A hands-on AI engineer embeds with clients to rebuild core business processes using GenAI and AWS, starting by doing the operator’s job before automating it.
Design and optimize AWS-based AI/ML infrastructure, automate CI/CD pipelines, and enforce data contracts to deploy and monitor ML models in production.
Artificial intelligence is rewriting every industry it touches — but construction, the second largest sector in the global economy, has barely felt it yet. That's not a problem. That's an opening. ZeroRFI is…
Location: Sydney, NSW Experience: 9–14 Years Employment Type: Full-Time Eligibility: Australian Citizens & Permanent Residents (PR) Only Sponsorship: Not Available About the Role We are seeking an experienced Data…
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