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Staff ML Engineer at Xero’s AI Products group designs scalable ML infrastructure and sets technical standards for LLM-powered features used by millions of small business customers.
Design and deploy AI-driven automation for trading workflows, integrating LLMs and RPA tools with legacy banking systems to streamline operations and ensure compliance.
Design and deploy AI agents and copilots to automate Roku TV workflows, integrating LLM orchestration, RAG, and multi-agent systems with Python and cloud tools.
Build and deploy AI infrastructure and services for Xero’s products, turning ML models into scalable production systems that serve millions of small-business users.
Build and deploy AI-powered computer vision models for video analytics, working across edge and cloud environments using Python, OpenCV, and frameworks like TensorFlow or PyTorch.
Lead a team to design and deploy AI and data-science solutions that improve healthcare services, using Python, ML frameworks, and cloud platforms.
Build and deploy ML models in NLP, computer vision, and generative AI, integrating them into production apps via cloud APIs and frameworks like PyTorch and LangChain.
Build and maintain cloud-based data pipelines and warehouses for a property-management SaaS, enabling analytics and reporting across the business.
Build and maintain scalable data pipelines for Roku’s ad-auction platform, ensuring reliable, high-performance data flows for digital advertising.
Build and deploy enterprise AI, Generative AI, and ML solutions for clients in Australia and New Zealand using Python, Java, and cloud platforms like AWS/Azure.
Lead a team building enterprise-grade AI solutions for healthcare, deploying LLMs on cloud platforms like AWS/Azure with OpenShift and Kubernetes while ensuring security, compliance, and scalability.
Axtria is a global provider of award-winning cloud software and data analytics to the life sciences industry. The company enables pharmaceutical, medical device, and diagnostics organizations to transform product…
Design and deploy ML models, LLMs, and analytical pipelines to support litigation, regulatory strategy, and AI/cybersecurity advisory for Fortune 100 clients and governments.
Build and deploy AI/ML models in Python and SQL to solve business problems, ensuring explainability and governance while collaborating with cross-functional teams.
Build and deploy production AI systems: LLM APIs wrapped in FastAPI, prompt engineering, structured JSON outputs, and observability for classification and agent workflows.
Build and deploy AI-driven credit scoring, cash flow forecasting, and autonomous capital allocation models for a global private credit firm.
Build and deploy cutting-edge AI models, including LLMs, by collaborating with researchers to pre-train, fine-tune, and evaluate large-scale machine learning systems.
Build Python-based computer vision models in PyTorch/TensorFlow to automate compliance checks and identity verification for a fintech company.
Design, implement, and optimize AI models in Python/TensorFlow/PyTorch, deploy them to cloud, and collaborate with data scientists and engineers to drive business value.
Research and train large language models for financial applications using PyTorch, TensorFlow, and Hugging Face to optimize AI-driven fintech solutions.
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