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Machine Learning Engineer at Cinder building classification pipelines, confidence cascading, and model training/serving infrastructure for a trust & safety platform, using Python, PyTorch, scikit-learn, XGBoost, and LLMs.
The Role Disco is a commerce media company run like an AI company. We brought our bidding and ad-serving stack in house. We built an agentic development pipeline where every pull request, every message, and every…
ML Hardware Architect at Google defining TPU roadmaps, building simulation/performance models in C++/Python, and bridging AI research with next-gen silicon design for Google Cloud's AI infrastructure.
The Senior Machine Learning Engineer will build and evolve cloud-based AI/ML solutions to enhance enterprise service workflows. The role involves collaborating with cross-functional teams to design, implement, and deliver scalable AI-powered software using Java or Python.
Senior Software Engineer in Google's Labs incubation group, building and deploying ML/AI solutions—including generative AI, ML infrastructure, speech/audio, or reinforcement learning—at scale across Google's products.
ООО "Сбербанк-Сервис" - дочернее общество ПАО Сбербанк. В настоящее время компания является одной из крупнейших IT- сервисных компаний России, с присутствием во всех федеральных округах РФ, в том числе и в…
On-site ML Engineer supporting USSOCOM's data-centric transformation, applying algorithms and systems to extract actionable insights from data.
Design and deploy AI/ML systems for ICS/xOT cybersecurity, building threat detection and automation models in cloud and on-prem environments using Python, PyTorch/TensorFlow, and Kubernetes.
Design and deploy AI/ML systems for industrial cybersecurity, focusing on threat detection and automation in ICS/xOT environments using Python, ML frameworks, and Kubernetes.
This role involves developing and deploying computer vision and machine learning solutions for industrial inspection, specifically for engine block defect detection. The position focuses on integrating algorithms, optimizing models for Cloud and Edge environments, and building efficient inference pipelines using Python, C++, and various AI frameworks.
Build and optimize the infrastructure behind cutting-edge ML research for top quant trading and systematic investment firms, focusing on distributed training and GPU systems.
An ML Researcher at a global market maker in London, scaling deep learning alpha models and leveraging petabyte-scale data across the full research lifecycle to directly impact trading.
Sr. Machince Learning Engineer Location: Cincinnati OH (Hybrid - 3 Days Onsite) Duration: 1 Year Key Responsibilities · Design, develop, deploy, and maintain scalable machine learning and Generative AI solutions with a…
The Machine Learning Developer will build statistical models for equities and commodities and serve as a technical authority on machine learning within the firm. The role requires proficiency in Python or C++ and experience in quantitative strategy or scientific research.
Hands-on Python NLP engineer building and maintaining production document-processing services that extract information from PDFs, Word docs, and unstructured text using spaCy, NLTK, and LLMs in a UK-based SaaS company.
Salary: £45,000 - 70,000 per year Requirements: Strong commercial Python experience Hands-on Natural Language Processing experience Experience with document extraction or unstructured text Experience working on live…
Salary: £60,000 - 65,000 per year Requirements: Strong AI/ML R&D experience Strong Python development skills Experience with modern AI/ML techniques and frameworks Experience applying research to practical…
Salary: £? - ? per year Requirements: We have 5+ years of experience in MLOps, DevOps, or related engineering roles. We have strong knowledge of the ML lifecycle and production ML operations. We have hands-on…
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION If you are a software engineering leader ready to take the reins and drive impact, we've got an…
Задачи: Создание моделей нейронных сетей в задачах Object detection, Instance Segmentation, Classification, Pose Estimation. Проработка сценариев тестирования моделей машинного обучения. Участие в создании инструкций…
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