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Realm is seeking a software engineering intern to build AI-driven features for the mining industry using TypeScript, React, and various AI/ML tools. Interns will work directly with senior engineers to ship production code that integrates with mine infrastructure.
Develop and optimize software frameworks like Triton and PyTorch to enhance Graphcore's AI hardware performance and usability for ML workloads.
Join our team Location: Plano, TX. Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1’s, H-1B1’s,…
An internship for penultimate/final-year students to support fintech infrastructure/cloud engineering, optimizing trading systems and cloud platforms for performance, scalability, and automation.
In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. We are…
Leads a data science team to develop AI/ML solutions for catastrophe-exposed property insurance, shaping strategy, mentoring talent, and driving scalable analytics to improve business decisions.
Наш продукт — единая точка входа для рекламодателей, которая обеспечивает гибкое управление рекламой на всех цифровых площадках сети X5. На сегодняшний день платформа имеет доступ к аудитории в 24 млн. человек,…
Co-op researcher at Huawei's Noah's Ark lab in Markham focused on speech and audio AI research, involving literature review, algorithm implementation, and data analysis using deep learning, signal processing, Python, and C++.
Co-op ML software engineer building end-to-end ML solutions—from data preprocessing to front-end—at RBC Borealis, using Python/C++/Java, Spark/Hadoop, and deep learning frameworks.
Designs and deploys secure, AI-enabled data pipelines and ML services for defense missions, using Python, Spark, and cloud-native tools to transform raw data into actionable insights.
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9…
The Data Science Architect designs and leads the delivery of AI and data solutions for clients using GCP services and various machine learning frameworks. The role involves technical leadership, mentoring junior staff, and bridging the gap between complex data challenges and business outcomes.
This is a hands-on Senior Software Engineer and Technical Team Lead role responsible for developing complex software using Java and C++ while mentoring team members. The position involves working in an Agile Scrum environment to deliver high-quality products using cloud-native architectures and AI-assisted development tools.
Design and deploy ML models directly onto custom hardware, co-architecting solutions with traders and engineers while optimizing for latency and resource constraints.
Build and optimize large-scale ML training and inference pipelines for low-latency trading systems using Python, CUDA, PyTorch/TensorFlow, and GPU acceleration.
Research and deploy ML models to generate trading signals and optimize portfolios, collaborating with quants and engineers using Python and PyTorch/TensorFlow.
Build high-performance trading systems and analytical tools in Python for internal use, collaborating closely with traders and researchers to develop scalable applications and data-driven solutions.
Build and maintain Python-based research frameworks and data pipelines for a trading firm expanding into crypto, collaborating with traders and engineers to deliver scalable analysis tools.
Researcher builds deep-learning models to predict short-term market moves for high-frequency delta-one trading, using TensorFlow/PyTorch and collaborating with traders and engineers.
Research and implement ML models for global trading strategies, deploying solutions in equities, futures, and options markets using Python and frameworks like PyTorch.
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