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Build and optimize production-grade face biometrics and identity-verification systems using deep learning and computer vision, focusing on liveness detection, anti-spoofing, and fraud prevention.
Lead the design, build, and deployment of production-grade AI systems for high-stakes clients, focusing on scalable ML infrastructure and responsible AI practices.
Build and deploy production-grade machine learning systems for government and enterprise clients, using Python, cloud platforms, and ML frameworks like TensorFlow or PyTorch.
Research and build deep-learning models for real-time video analysis, computer vision, and cybersecurity, then deploy them and publish findings in top-tier journals.
Build and deploy production-grade AI systems for government and enterprise clients, focusing on scalable ML architecture and responsible AI deployment.
Build and deploy ML models to detect abuse and protect Apple’s ecosystem, using LLMs and deep learning while ensuring user privacy and security.
Lead the vision for personalization algorithms at a global D2C brand, designing and deploying real-time ML models to drive measurable customer and business impact.
Build and deploy cutting-edge text-to-speech models, voice cloning, and audio generation systems using large-scale ML and transformer architectures.
Build and maintain automated testing and CI/CD infrastructure for a complex AI/ML software stack, ensuring reliability and performance across simulators, emulators, and hardware.
Lead a team to build and ship scalable generative AI applications using Google’s latest models, translating research into real-world products while mentoring engineers.
Design and lead ML architecture for sports-tech products, building scalable inference pipelines and real-time 3D systems that power immersive fan experiences.
Lead a team to design, build, and deploy ML/AI systems for ecommerce search, recommendations, and personalization, shipping models that directly move business metrics.
Lead the build and deployment of production-grade AI systems, fine-tuning large language models and optimizing GPU-based training/inference pipelines.
Build and deploy production-scale NLP and personalization models that process billions of consumer reviews and UGC, using Python, cloud ML stacks, and LLMs.
Senior Data Scientist builds NLP and GenAI models to analyze customer journeys, using Python, PySpark, and Azure to deploy solutions that drive actionable insights.
Senior Platform Engineer at Lightning AI builds and scales core backend systems like authentication and multi-tenancy using Go, Python, Rust, and frontend tools in a fast-moving startup.
Builds and deploys AI-driven features for an e-commerce platform using Python, JavaScript, React/Angular, and TensorFlow/PyTorch.
Build and deploy ML models for credit risk scoring and fraud detection using Python, SQL, and gradient boosting; work with large credit-history datasets in production.
Builds cloud-native software and AI solutions for enterprise clients, using Python, TypeScript, and agentic-coding tools like Claude Code while advising on architecture and security.
ML engineer builds and runs online reinforcement-learning pipelines to improve GigaChat’s post-training, designing experiments, reward signals, and distributed training workflows.
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