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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.
Мы — амбициозная команда специалистов, которая ставит перед собой амбициозную задачу по разработке и внедрению ИИ-агента для управления технологическими рисками Банка. Наше решение помогает быстро выявлять, оценивать и…
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.
The Company: Faraday Future is a California-based technology company focused on the design, engineering, and development of intelligent, connected electric vehicles and related artificial intelligence–enabled…
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 scale data-centric AI models for autonomous driving, curating massive real-world and synthetic datasets to train perception, trajectory, and behavior models that directly improve on-road safety.
Build production AI systems that turn LLM capabilities into reliable, context-aware applications, owning model integration, infrastructure, and deployment end-to-end.
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 a production-grade spiking neural network engine for machine vision in C++, integrating research into robust AI systems for defence and security.
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