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Design and lead enterprise-scale data platforms, pipelines, and ML solutions for clients, using cloud-native tools and modern architectures like Lakehouse and Data Mesh.
Designs and leads AWS-based data and AI platforms for public-sector and regulated clients, integrating ML, GenAI, and streaming pipelines while ensuring security and governance.
Design and deliver cloud-native data platforms with AI/ML integration for enterprise clients, focusing on scalable analytics, real-time processing, and governance.
Build and scale AI agents and foundation models for drug discovery, integrating biological data and deploying robust MLOps/AgentOps systems in a biotech R&D environment.
About the team We are a focused engineering team of 5 to 9 people at a multi-product tech SaaS company. We work across personalization, recommendation, fraud detection, and some GenAI, through real-time,…
Build and deploy AI systems that predict consumer reactions to creative content using neuroscience data, generative AI, and multi-modal models in a production environment.
Senior ML Engineer builds and scales AI microservices, deploys LLMs, and maintains MLOps pipelines for a computer-vision company.
Senior MLOps Engineer builds and maintains scalable AI/ML pipelines for drug-discovery models, bridging research and production in a life-sciences org.
Design and build AI/ML models to solve real-world problems, using Python and frameworks like PyTorch or TensorFlow, while collaborating in a hybrid office setup.
Lead AI and data-science engagements, designing and delivering production-grade AI solutions for enterprise clients while mentoring teams and advising executives.
Привет! Мы — команда платформы инференса Ozon. Мы строим ML-инфраструктуру, отвечающую за финальный и самый критичный этап жизненного цикла моделей — их работу в реальных продуктах. Через нашу платформу проходят…
Владелец продукта с инженерным бэкграундом внедряет ИИ-решения: проектирует архитектуру, пишет код с LLM-помощниками, выводит фичи в продакшн и взаимодействует с бизнес-подразделениями.
Build and ship ML models for credit risk, revenue forecasting, and underwriting to fund eCommerce businesses without equity dilution.
ML-разработчик #офис Санкт-Петербург ☑️Какие задачи необходимо решать -Проектировать и разрабатывать масштабируемые ML-сервисы и микросервисы на базе Python (FastAPI/Flask) -Интегрировать обученные модели в…
Build and deploy AI pipelines for India’s national health-insurance programme, including anonymisation, synthetic-data generation, and natural-language querying of aggregated public-health data.
Design, build, and deploy production-grade ML models and APIs while collaborating with global teams to integrate AI solutions into client workflows.
Lead the implementation of Aviso’s data governance framework, ensuring trusted, compliant data use across wealth management while enabling responsible AI innovation and cross-functional collaboration.
Lead Novartis’s enterprise-wide deployment of generative AI and agentic systems, architecting secure, scalable solutions and coaching a global team to transform patient-focused workflows.
Builds and deploys ML models and AI solutions using TensorFlow, PyTorch, and cloud platforms to solve business problems and enhance products, while implementing MLOps for production monitoring.
• OCI Data Science Platform: Build, train, evaluate and deploy machine learning models using OCI Data Science, notebooks and Python-based ML solutions. • Data Preparation & Feature Engineering: Perform data…
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