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Build and deploy production-grade AI systems, including LLMs, Generative AI, and Agentic AI, while establishing MLOps/LLMOps pipelines and responsible AI practices.
Build and deploy NLP/LLM models to automate customer support tasks like intent detection, chatbots, and agent routing for Zendesk’s AI-powered CX platform.
Build and deploy AI/ML models and generative AI workflows for clients across ASEAN, using Python, cloud platforms, and modern frameworks.
Build Python-based generative AI and agentic systems for a large bank, including FastAPI services, retrieval-augmented generation, and multi-agent orchestration.
Design and lead the enterprise AI architecture for a portfolio of software businesses, setting standards and reusable patterns to operationalize AI across products and processes.
Lead the design, fine-tuning, and evaluation of LLMs and generative AI models for healthcare, ensuring safety, explainability, and production readiness while mentoring junior data scientists.
Principal engineer leading the design and delivery of scalable banking platforms, APIs, and AI-driven customer experiences for Business Banking at CommBank.
Principal Engineer leading AI-first CRM and banker-experience platforms at a major bank, designing cloud-native, event-driven systems in Python/Java/TypeScript with React and Kubernetes.
Build and deploy ML models to detect cheating, fraud, and abuse in EA’s games using telemetry, transaction, and behavioral data.
Build and deploy computer-vision models using deep learning frameworks like PyTorch/TensorFlow to classify images, detect objects, and segment scenes for AI applications.
Define and drive the product strategy for ML training workflows that improve model development speed, training reliability, and developer productivity for GM’s autonomous vehicle platform.
Builds and maintains AI/GenAI-powered financial applications using LLMs, RAG, and agentic frameworks like LangChain, integrated with cloud services and enterprise systems.
Design, build, and deploy ML models and AI systems for a global talent marketplace, spanning data prep to production monitoring using Python, TensorFlow/PyTorch, and MLOps tooling.
Build and improve ML models for document verification, fraud detection, and biometric checks using Python, SQL, and cloud ML tools to enhance real-time identity trust infrastructure.
Lead the architecture and deployment of Lyra’s AI/ML and generative AI platforms, ensuring scalable, secure, and clinically precise systems while mentoring engineers and collaborating with cross-functional teams.
Build and deploy ML and generative AI tooling and services for Lyra’s mental-health platform, including training/inference platforms, APIs, and evaluation frameworks.
Leads AI evaluation products (benchmarks/leaderboards) for Scale AI, defining strategy, roadmap, and operational excellence while collaborating with ML researchers, engineering, and GTM teams to shape industry standards for AI model measurement and adoption.
Build and maintain the data warehouse and analytics stack that powers executive dashboards, AI agents, and cross-functional decision-making for a proptech/adtech SaaS serving real-estate professionals.
Build and lead CBA’s next-gen digital wealth platform using .NET, ASP.NET Core, React, and Next.js, designing scalable APIs and event-driven systems for mass affluent and high-net-worth customers.
Vannevar is a defense technology company building AI to deter our adversaries. In the 21st century, conflict moves at algorithmic speed and foresight equals firepower. Our agentic AI is purpose-built to compete with…
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