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AI/ML Engineer at lululemon designing and implementing end-to-end ML systems across the full model lifecycle—training, deployment, and monitoring—using Python, PyTorch, distributed training frameworks, and cloud ML platforms like SageMaker, Vertex AI, and Azure ML.
Design and build scalable, cloud-native AI infrastructure including MLOps pipelines, multi-modal feature platforms, and production-grade model training/deployment workflows using AWS, GCP, Azure, and AliCloud.
Builds and maintains ML infrastructure (training, serving, CI/CD, observability) for AI/ML models and LLMs, bridging research and production teams to deploy scalable, reliable systems.
Principal Data Scientist builds and deploys ML models to drive credit decisions and financial progress for customers, using PyData tools and production-grade pipelines.
Senior Data Scientist builds and deploys machine learning models to make lending decisions for a fintech company, using Python and PyData tools.
Czym będziesz się zajmować? Andersen is hiring an MLOps Engineer for a project delivering scalable digital solutions and supporting reliable AI and technology platforms across diverse organizations. Responsibilities:…
Команда занимается разработкой «Ai-помощника» - это проект использованием LLM который призван радикально улучшить клиентский опыт при при оформлении основных продуктов банка (Вклады и кредиты) и помочь клиенту…
Lead the design and evolution of AI and data platforms using Kubernetes, microservices, and MLOps tooling to build scalable, production-grade systems.
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten countries, focusing on FinOps, zero-trust security, agentic AI infrastructure, and enterprise-grade observability.
Build and run a secure, multi-cloud AI platform for a bank, deploying services on AWS Bedrock, Databricks, Azure AI, Hugging Face and Kubernetes while optimizing costs, security and observability for enterprise-scale AI workloads.
Build AI-driven healthcare applications end-to-end using Python/TypeScript, agent frameworks, and vector databases, deploying on cloud platforms while owning the full stack from design to production.
Design and migrate AWS cloud infrastructure for scalable Django apps, lead Kubernetes clusters, and advise clients on secure, cost-efficient cloud solutions.
Designs and documents high-load lending services for Sberbank, integrating AI agents and LLM prompts to automate dynamic pricing and credit decisions.
System analyst at Sberbank designing and improving online lending services, integrating AI agents and LLM APIs, and modeling high-load distributed systems for millions of users.
Мы создаем сервисы кредитования в Сбербанке, позволяющие клиентам быстро и удобно получать кредиты онлайн. Клиент может подать заявку на получение кредита через мобильное приложение или WEB, получить одобрение всего за…
Data Scientist at Zempler Bank builds models to improve credit access, customer experience, and fraud protection using bank data.
Build and maintain ML systems for fintech and cybersecurity products, designing models to solve business problems and automating ML workflows in production.
Build ML models to detect and govern AI agents in Kubernetes clusters, using telemetry and LLMs to create risk scores and enforce security policies for enterprise customers.
Build and run Absa’s multi-cloud AI platform, deploying and scaling services on AWS Bedrock, Databricks, Azure AI Foundry, Hugging Face, and Kubernetes to power enterprise AI use cases across the bank.
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten African countries, focusing on FinOps, zero-trust security, and agentic AI infrastructure.
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