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Мы ищем DevOps / MLOps инженера, который развернет и возглавит развитие инфраструктуры для нашего нового подразделения. Вам предстоит автоматизировать жизненный цикл ИИ-сервисов (от сборки кода на Python/Java/.NET до…
Senior Data Scientist owning data products end-to-end for Sun King's PAYG LPG clean cooking business in East Africa, using Python, SQL, ML models and Bayesian methods to drive commercial metrics like activation, churn and refill frequency.
Росгосстрах сейчас активно развивает внутреннюю платформу - экосистему AI-сервисов для автоматизации ключевых процессов компании. Для этого формируем новую команду, которая будет фокусироваться на улучшении ключевых…
We are MOTOR Ai . Our mission is to make Level 4 autonomous driving a reality in Germany and beyond. By combining state-of-the-art AI with the expertise of our multidisciplinary team, we are poised to introduce the…
Senior System Analyst at Sberbank designing and developing a non-purpose real-estate-secured loan product — gathering requirements, modeling architecture, designing API integrations, and working with LLM/AI technologies (GigaChat, MLflow, AI agents).
Вам предстоит: Инфраструктура Проектирование и поддержка Kubernetes-кластеров (Yandex Cloud + bare metal) Управление Docker-образами, container registry, версионирование Настройка балансировщиков нагрузки (Nginx,…
Привет , это Voximplant! Мы международная SaaS компания в области облачных коммуникаций. Мы создаём платформу, которая позволяет компаниям по всему миру строить клиентские коммуникации внутри своих продуктов и…
Сеть магазинов формата food & wine "Ароматный мир" приглашает в команду ! Какие задачи предстоит выполнять: Разработка и внедрение ML-моделей прогнозирования спроса (временные ряды + градиентный бустинг +…
Senior AI/ML Ops Engineer designs, deploys, and maintains scalable AI/ML pipelines and platforms, focusing on automation, monitoring, and cost optimization for enterprise SaaS.
Senior Data/AI Engineer designing Lakehouse data pipelines, real-time SSE streaming APIs, and AKS microservices on Azure Databricks using Spark, Python, and SQL to power research and analytics products.
Leads design and delivery of cloud-based data and AI platforms, combining architecture expertise with hands-on data engineering to build lakehouse, warehouse, and streaming solutions across AWS, Azure, and GCP.
Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of…
Senior Data Engineer designing and maintaining scalable data pipelines and end-to-end analytical solutions on AWS, using SQL, Python, Spark/Flink, and ML orchestration tools to power enterprise-wide intelligence.
Hands-on Director owning Waters Corporation's Enterprise Data Platform end to end — architecting and building Databricks Lakehouse, Power BI semantic layers, and SAP integrations with Terraform IaC, while leading a direct platform engineering team and a matrixed GCC team.
Silicon Quantum Computing (SQC) is at the forefront of global efforts to build the world’s first commercial-scale quantum computer, while delivering quantum-enhanced AI and simulation products to customers today.…
We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies. As a Senior Principal Software Engineer at JPMorganChase within…
Turn complex data into decisions that matter. Agile Bridge is looking for a Data Scientist who can move confidently from messy data and ambiguous business questions to reliable models, clear insight and measurable…
Job Title: DevOps Engineer – AI/ML Platform Experience: 8–12+ years About the Role We are seeking a skilled DevOps Engineer with experience in AI/ML infrastructure to design, build, and maintain scalable, secure, and…
The MLOps Engineer will design and implement automated pipelines for model deployment, monitoring, and retraining within Data Science projects. The role requires expertise in cloud-based ML platforms, CI/CD/CT practices, and container orchestration using tools like Kubernetes, AWS SageMaker, and Kubeflow.
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