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Ключевые задачи Вести ML-проекты end-to-end: постановка задачи -> решение -> тест -> прод -> поддержка Совместно с дата-инженерами формировать датасеты и требования к данным, оценивать реализуемость, риски…
About the position The Samsung Advanced Flash Solution Lab (AFSL) is part of Samsung Semiconductor Memory Business, the world’s largest manufacturer of memory and storage devices for mobile phones, personal computers,…
We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents…
Builds and maintains risk models for unsecured lending using machine learning in Python, SQL, and MLOps to forecast credit losses and optimize decision processes.
Overview The Staff Gen AI Scientist will apply knowledge and experience to real world problems and seek to improve health quality outcomes and reduce the cost of healthcare. With access to dedicated on premise and…
Embed with government agencies to deploy and fine-tune the Matilda AI stack on-premises, solving complex data problems in secure, air-gapped environments using Python and modern ML frameworks.
Build and scale MLOps infrastructure for an AI-driven ad platform, designing Prefect-based pipelines for training and deploying recommendation models that power real-time bidding at massive scale.
Build and operate MLOps infrastructure for an AI-native ad-tech platform, focusing on scalable model training and deployment pipelines using Python, Spark, and Prefect to support real-time bidding systems.
Develop and deploy computer vision models on edge devices, optimizing for performance and maintaining ML pipelines using Python and PyTorch.
Build high-performance C++17 software libraries and optimize machine learning operations for Qualcomm Hexagon Processors, enabling OEMs and developers to run deep neural networks on-device across phones, cars, and IoT devices.
Architect scalable AI/ML solutions for an enterprise modernization initiative, focusing on cloud infrastructure, MLOps, and the full ML lifecycle.
Lead the architecture and implementation of scalable AI/ML pipelines and LLM-based systems using Python, cloud platforms, and MLOps practices for enterprise clients.
Lead data science initiatives for a global consumer platform, applying advanced analytics, ML, and big data processing to drive product growth.
Develop data science solutions and build ML models using Python, SQL, and Spark for a global social platform, analyzing large-scale datasets to provide actionable insights for product teams.
About the role As a Machine Learning Engineer at Arkeus, you will work with the Machine Learning team to prepare data and develop ML models, joining specialists working at the intersection of machine learning, computer…
[What the Role is] GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS),…
Design and deploy enterprise AI solutions—RAG, agentic workflows, ML models—connecting Claude and LLMs with ServiceNow and enterprise data systems using Python, SQL, and major cloud platforms.
Architect and deploy enterprise AI solutions—especially Claude/Anthropic-powered agentic AI, RAG, and LLM applications—integrated with ServiceNow and enterprise data systems, combining AI/ML architecture, cloud solution design, and technical leadership.
Architect and deploy enterprise AI solutions—RAG, agentic workflows, and Claude/LLM integrations—on ServiceNow and cloud platforms for a consulting partner.
Designs and deploys scalable agentic AI architectures for enterprises, integrating Anthropic’s Claude with ServiceNow, enterprise data, and workflows. Focuses on RAG, LLM orchestration, security, and responsible AI deployment.
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