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Data scientist in Defence AI Centre building ML prototypes, testing AI systems, and shaping policy/standards for ML Ops and AI governance.
Data scientist in Defence Australia’s AI Centre building and evaluating AI prototypes, shaping policy, and ensuring robust governance for military decision-making systems.
Build LLM-powered agentic trading systems and AI pipelines for Binance’s crypto trading products, running experiments and shipping production code.
Build AI-powered features and LLM-based enrichment pipelines for a people analytics platform, collaborating with engineers and data scientists.
Lead the design and deployment of agentic AI systems for enterprises, architecting LLM-driven agents and shaping platform direction while mentoring engineers.
Lead the design and deployment of autonomous AI agents that plan, decide, and act at scale, while mentoring engineers and shaping MLOps and governance.
Build and deploy AI/ML models to optimize a fintech lending funnel, automate reporting with SQL/Python, and partner with product teams to improve conversion and efficiency.
Build and deploy ML models to solve business problems, translating complex data challenges into practical solutions.
Builds ML models for fraud detection, risk management, and customer analytics in the financial sector using data-driven solutions.
Build ML models and data pipelines for fraud detection and payment optimization in a global fintech platform.
Build and deploy scalable data pipelines and ML models for fraud detection, risk management, and customer analytics in the financial sector using Python, Spark, and cloud platforms.
Lead the design and deployment of LLM-powered travel planning, pricing, and booking systems using RAG and ML/NLP techniques in a high-volume environment.
Build and deploy generative AI models to automate and enhance underwriting processes using Python, SQL, and OpenAI services.
Design and deploy ML models and analytics to extract insights from large datasets, collaborating with stakeholders and engineers to solve business challenges.
Lead AI/ML projects to build and productionize models for personalization, churn prediction, and customer behavior analysis in a telecom-focused unit.
Lead AI/ML projects to optimize public transport operations and customer experience using Python and advanced analytics.
Build and deploy AI/ML models for predictive maintenance using real-time IoT data, focusing on production-ready solutions and end-to-end ownership.
Build and deploy AI models to enhance TE’s product design and manufacturing workflows, collaborating with R&D teams and academic partners.
Build and deploy scalable AI systems (Generative AI, NLP) end-to-end, ensuring production quality and mentoring junior engineers in Singapore.
Build predictive models and dashboards for government projects using Python/R/SQL to analyze and forecast data.
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