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Build and deploy generative AI models (LLMs, diffusion, transformers) and agentic AI systems using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy ML/AI models end-to-end, from data exploration to production, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/GCP/Azure.
Build and fine-tune deep learning models for computer vision and NLP, integrate them into products, and optimize performance.
Build and deploy large-scale ML systems for personalized recommendations, search, and ads at Reddit, using PyTorch/TensorFlow and distributed pipelines.
Build and deploy large-scale ML systems for recommendations, search, ads, and LLM-driven features that power Reddit’s community platform.
Build and optimize AI infrastructure and distributed systems for training and deploying machine learning models in production, using Python/C++/Java and frameworks like TensorFlow/PyTorch.
Build and deploy AI agents for supply-chain orchestration, integrating them securely with legacy systems using Python, GCP, and Vertex AI while optimizing token usage and performance.
Build and deploy AI-powered features that extract insights from financial data using NLP, LLMs, and scalable systems in a fintech environment.
Build and deploy AI agents for supply-chain optimization, integrating them securely with legacy systems using Python, GCP, and Vertex AI Agent SDK.
Lead the development of advanced AML detection systems using machine learning, neural networks, and LLMs to identify financial crime typologies and red flags for Wise’s global platform.
Test and maintain advanced robotics platforms (humanoid, wheeled, quadrupedal) by running functional validation, regression tests, and telemetry analysis using Python and ROS/ROS2 on Linux/Windows.
Build and deploy deep-learning computer-vision systems using CNNs and Vision Transformers for defence and security applications.
Consultant builds and deploys AI/ML models for UK Defence & Security clients, turning data into secure, scalable solutions from prototype to production.
Design and deploy edge-AI models on embedded systems to enhance aircraft cabin experiences, using C++, Python, and deep learning frameworks like TensorFlow/PyTorch.
Build and deploy ML models for defence prototypes using Python, TensorFlow, and PyTorch, spanning computer vision, generative AI, and more.
Leads a team of 6 data scientists to build custom AI/ML models and exploit complex datasets for defense and technology projects.
Leads enterprise AI governance and productivity frameworks, defining standards for AI adoption, evaluation, and automation across investment and operations using LLMs, agents, and cloud-native stacks.
Build and deploy production AI systems for a quantitative trading firm, designing ML models, pipelines, and infrastructure to support trading workflows.
Develops and deploys computer vision models for aquaculture monitoring, processing image and sensor data to assess water conditions and ecosystem health in real-world environments.
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