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Applied AI ML Lead - DocAI
Lead AI/ML engineering at J.P. Morgan, building NLP or computer-vision models to automate financial processes and improve business decisions using PyTorch, distributed frameworks, and MLOps tooling.
ML-инженер (Online RL) / Post-Training LLM
ML engineer builds and runs online reinforcement-learning pipelines to improve GigaChat’s post-training, designing experiments, reward signals, and distributed training workflows.
Senior Machine Learning Engineer, AI Platform
Build and own the shared AI platform that trains and serves Adobe’s generative AI models at global scale, focusing on GPU fleet utilization, low-latency inference, and end-to-end model deployment pipelines.
Lead Software Engineer - Machine Learning Platform
Lead a team building and optimizing scalable ML training platforms on AWS/Kubernetes, focusing on GPU workloads, performance tuning, and Gen AI/LLM pipelines while enforcing enterprise governance and security standards.
NLP AI Engineer
Design, fine-tune, and deploy enterprise-scale large language models using PyTorch, transformers, and RLHF/DPO; build scalable NLP pipelines and MLOps workflows for production AI systems.
Amazon Software Development Engineer, AWS SageMaker AI
Build and operate the distributed orchestration engine for Amazon SageMaker AI’s Model Factory, running large-scale LLM training and customization workflows across thousands of GPUs and Trainium devices.
Senior Software Engineer - AI
Build and lead large-scale AI systems for federal programs, designing Python-based LLM solutions, RAG pipelines, and cloud-native architectures while ensuring compliance and security in regulated environments.
AI HPC Infrastructure Engineer
Maintains and optimizes a hybrid HPC/AI Linux cluster with GPUs, scheduling tools (SLURM/Kubernetes), and MLOps pipelines to support large-scale model training and inference for researchers.
ML Infrastructure Engineer
Build and scale ML infrastructure for brain-computer interface research, including distributed training pipelines, data platforms, and cloud infrastructure to support neuroscientific modeling and neural decoding.
Machine Learning Engineer
Build and deploy large-scale machine learning models and AI agents to optimize Micron’s semiconductor manufacturing workflows using distributed training and GPU optimization techniques.
Senior Associate, Generative AI, Data and Analytics, Advisory
Design and optimize ML pipelines, LLM serving, and GPU architectures for generative AI solutions using frameworks like PyTorch, Hugging Face, and vLLM.
Data Scientist в команду LLM Core
Build and improve Avito’s in-house large language models by designing experiments, training pipelines, and optimizing inference for production use.
DS/ AI Lead (технический директор)
В Дирекцию реализации и популяризации AI-инициатив Департамента развития искусственного интеллекта и машинного обучения (Сбер AI) Сбера требуется DS/AI Lead для реализации AI/GenAI-проектов в сегменте B2G. Нашей…
Staff Software Engineer, Simulation ML Infrastructure
Build and scale AI/ML infrastructure for autonomous-driving simulations using large foundation models, focusing on distributed training and ML accelerators.
AI Engineer (ML Systems & Infrastructure)
Builds and optimizes large-scale AI infrastructure, including Kubernetes clusters, RDMA networking, and GPU orchestration to improve efficiency and scalability of AI training/inference systems.
Senior Machine Learning Engineer
About this opportunity: At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine Learning Science (MLS) team, within the Computational Science department. The ideal candidate has a…
Senior Data Scientist (R&D NLP)
Build and optimize multi-agent LLM systems, RAG pipelines, and large-scale NLP models to transform enterprise processes with rapid prototyping and production deployment.
Senior Data Scientist (R&D NLP)
R&D-focused NLP role building multi-agent LLM systems, RAG pipelines, and optimizing inference for large-scale text processing in a fintech environment.
Senior ML Engineer (ИИ-агенты для бизнеса)
Разрабатываете NLP/мультимодальные пайплайны, RAG-системы и ИИ-агентов для бизнес-задач, интегрируете их в высоконагруженные сервисы банка.
Senior MLOps Engineer (ML Workflows Engineering)
Design and maintain MLOps infrastructure and pipelines to streamline ML model development, training, and deployment for AI-powered developer tools.