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Build and maintain Compa’s AI-powered compensation platform, working across Django/Python backend and React/TypeScript frontend to deliver enterprise-grade features.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
About Thinking Machines The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and…
At Verda, we're building a full-stack AI cloud, covering everything from data centers and hardware to our own cloud platform that the world's leading AI teams use to do serious AI work. We strive to make a…
Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI About the Role Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI…
Who we are Video is 90% of the world's data. Most of it is invisible to machines. TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do — across sight,…
Stage en cybersécurité offensive pour concevoir une doctrine d'audit et de tests d'intrusion assistés par IA générative, incluant un POC et un playbook pour industrialiser les missions Red Team.
Maintain and secure high-performance compute, storage, and containerized AI platforms for semiconductor R&D in Korea, including NetApp arrays, HPC schedulers, and Synopsys.ai components.
Build and deploy AI-powered transport applications using LLMs, computer vision, and agentic systems to optimize Singapore’s land transport network.
Build and evaluate AI models (PyTorch/JAX) and help productionize them into APIs and batch workflows under senior guidance.
Builds and deploys AI features end-to-end, turning model capabilities into reliable, real-world user experiences using Python, LLMs, and vector databases.
Deploy and optimize large language models (LLMs) in production, quantize models, fine-tune with SFT/LoRA/RLHF, and build RAG/agentic pipelines for high-load systems.
Build and ship AI-powered features end-to-end, turning model capabilities into reliable, real-world user experiences using Python, LLMs, and vector databases.
Build and deploy efficient multimodal AI systems for Japanese enterprises, optimizing models for real-world latency, memory, and reliability constraints.
Own the design and implementation of a high-performance inference data plane for large language models on custom hardware, including compute kernels, memory management, and serving integration.
Build and optimize the low-level software that runs large language model inference on custom ML hardware, integrating serving frameworks with custom accelerators and profiling performance.
Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people,…
Build an AI pipeline to auto-generate structured documentation from a large industrial codebase using LLMs, vector search, and knowledge graphs.
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Build and deploy AI/ML systems for government missions, including LLM-powered workflows and agent-based automation in secure environments.
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