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NLP AI Engineer
Design, fine-tune, and deploy enterprise-scale large language models using PyTorch, transformers, RLHF, and MLOps for production AI applications.
Senior Site Reliability Engineer
Senior SRE builds and maintains Voleon’s AI research compute clusters, ensuring 24/7 uptime and performance for ML workloads across on-prem and cloud using IaC, observability stacks, and SRE practices.
Research Engineer, Machine Learning
Build and optimize large-scale ML systems for open-weight models, integrating research with production code in Python and PyTorch/JAX.
Research Engineer, Machine Learning
Build and optimize large-scale ML training systems and tools for open-weight models, working with PyTorch/JAX and distributed training frameworks.
Machine Learning Infrastructure Engineer
Build and scale ML infrastructure for brain-computer interface R&D, including distributed training pipelines and large-scale data platforms to support neuroscientific modeling and neural decoding.
AI Infrastructure Engineer
Design and operate GPU clusters, distributed training frameworks, and scheduling systems to power large-scale AI workloads with a focus on reliability, efficiency, and cost control.
Member of Technical Staff — Product
Builds and maintains developer-facing tools (APIs, SDKs, dashboards) on top of AI inference/training infrastructure like SGLang and Miles, collaborating with product and research teams to create intuitive interfaces.
Machine Learning Engineer, Foundation Model Services
Build and optimize production-grade inference services for Apple’s large language, vision, and speech models, ensuring low-latency performance across products like Siri and Photos.
Senior Lead AI Application Engineer (Global Security)
Lead the design and delivery of secure, cloud-native AI agent systems and full-stack microservices that automate risk/security controls and integrate with RBC’s pipelines and regulated environments.
Senior Principal AI Engineer (Remote)
Build and optimize distributed training systems for large neural networks (LLMs, diffusion, SSMs) across GPU clusters, focusing on throughput, stability, and fault tolerance using PyTorch, Megatron-LM, and DeepSpeed.
Senior MLOps Engineer
Senior MLOps Engineer builds and runs scalable LLM inference and training pipelines, deploys large open-weight models, and maintains a cost-aware multi-provider gateway for production ML services.
AI Automation Engineer - 12-month contract
Build and optimize low-latency ML inference pipelines and LLM tools to automate trading workflows, using PyTorch, TensorRT, and cloud GPUs.
Senior. AI Engineer – LLM Research Engineer
Build and optimize large language models for insurance workflows, focusing on post-training, evaluation, and inference performance to improve underwriting and claims processing.
Senior Graph AI Research Engineer
Lead the design and scaling of graph-based and transformer AI models, building production ML pipelines and optimizing distributed training/inference systems for structured-data intelligence.
Principal AI/ML Architect
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.
Member of Technical Staff, Pretraining
Research and develop large-scale multimodal AI pretraining systems, optimizing data pipelines and training infrastructure to advance foundation models for real-time, intuitive intelligence.
Devops Engineer - €45.000 A Year
Designs and operates ML/LLM pipelines, deploys production-grade AI systems on AWS/Azure, and monitors model performance and cloud infrastructure for enterprise clients.
AI Infrastructure Engineer
Optimize AI training and inference workloads for speed, cost, and efficiency across the full stack, from GPU kernels to distributed systems, using Python, C++, and profiling tools.
Machine Learning Engineer II
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power research and insights.
Machine Learning Engineer II
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power generative AI applications in finance.