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Lead AI vision and MLOps projects for automated agriculture and industrial solutions, designing deep learning models and end-to-end data pipelines for edge and cloud deployment.
Memwize is a VC-backed, stealth-mode startup building rack-level AI inference systems . We are seeking an experienced Senior/Principal Machine Learning Engineer to drive performance improvements in inference frameworks…
Memwize is a VC-backed, stealth-mode startup building rack-level AI inference systems . We are seeking a Senior/Principal Machine Learning Compiler Developer to build compiler capabilities from PyTorch through Triton…
Principal ML Engineer at FactSet building AI-driven financial analytics tools for investment professionals using open data and cloud platforms.
Lead AI strategy for Bumble’s recommendation, ranking, and personalization systems, building production-grade ML models and AI agents with PyTorch and LLMs to boost engagement and safety.
Lead AI strategy for Bumble’s matching and recommendation systems, building production-grade ML models and AI agents with PyTorch and LLMs to improve user engagement and safety.
Principal ML Engineer building real-time AI systems that turn live sports video and data into predictive insights and personalised fan experiences using computer vision, generative AI, and MLOps.
Principal Machine Learning Engineer building AI-driven financial data and analytics solutions for investment professionals.
Principal ML Engineer builds and owns recommendation/search personalization systems for a fitness platform, driving relevance through experimentation and scaling privacy-first ML infrastructure.
Leads high-fidelity robotics simulations, focusing on sensor and mechanical modeling, and AI data workflows to validate real-world robotic performance.
Principal ML Engineer builds and deploys GenAI features for business planning, integrating LLMs, prompt engineering, RAG, and agentic workflows into production systems using Python, MLOps, and cloud-native infra.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Lead the design and deployment of AI/ML models for subsurface data analysis in the oil and gas sector, using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy production-grade ML and LLM systems across multi-cloud, designing end-to-end pipelines and MLOps workflows with PyTorch/TensorFlow and cloud-native tooling.
Build and optimize speech AI models for text-to-speech and speech-to-text to power AI-driven game characters and virtual worlds.
Principal engineer optimizing AI/ML compilers and runtime for AMD GPUs, focusing on MLIR/LLVM transformations and ONNX operators to accelerate training and inference workloads.
Principal ML Engineer at Grab’s AI Platform team, building and scaling ML infrastructure for Southeast Asia’s superapp, including LLM training/serving, fraud detection, and search ranking.
Lead a team of AI/ML scientists and engineers to build agentic workflows and reasoning engines for Pipedrive’s AI-native CRM, shipping production-grade models that drive customer value from structured and unstructured data.
Leads AI/ML projects, designs models, and mentors engineers to build and deploy AI solutions for business innovation.
Principal ML Engineer at Faculty designs and steers large-scale AI systems for defence clients, setting technical direction and mentoring teams while ensuring scalable, ethical deployments.
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