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Lead a team of engineers building and scaling Google Search’s infrastructure, optimizing distributed systems and AI-driven search technologies.
Lead a team of engineers to develop and maintain Android display and power frameworks, ensuring stability and extensibility across devices while optimizing performance and power usage.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, and RAG; evaluate models and datasets.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and vector databases in Python with PyTorch and HuggingFace.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and evaluation frameworks while collaborating with AI Engineering teams.
Build and tune NLP and generative-AI models using prompt engineering, fine-tuning, RAG, and vector databases, then deploy them with Docker and GPU training.
Design and deploy scalable, real-time AI systems including LLM inference pipelines, RAG, and vector databases using Python, TensorFlow/PyTorch, and Kubernetes.
Build and lead Android systems that scale Google Search to billions of users, using Kotlin, Jetpack Compose, and modern architecture patterns.
Build full-stack identity platforms with AI-powered fraud detection and authentication flows using React, Python/Node.js, and cloud-native tools.
Команда внутреннего аудита анализирует внутренние процессы компании и помогает Сберу стать лучше. Для этого используем современные методы обработки данных: Process Mining, Speech-to-text, Computer Vision, Natural…
Build and deploy cutting-edge AI solutions for clients, focusing on RAG, chatbots, NLP, and LLM/VLM models while collaborating on internal projects and client engagements.
Designs and prototypes AI/ML models and data pipelines in Python, Azure, and Databricks to validate business use cases and guide technical decisions.
Principal Engineer leading data-science strategy and ML solutions for energy-tech products, guiding teams through design reviews and patent processes.
Build, train, and deploy ML models for recommendation, segmentation, scoring, and NLP, then set up robust AWS data pipelines and MLOps practices to industrialize them.
Build and optimize scalable data pipelines on Databricks and cloud platforms, ensuring data quality and performance for enterprise clients.
Build and maintain NLP pipelines to enrich patient data, validate results, and ensure data governance in a healthcare data warehouse using Python/R and ML frameworks like PyTorch/Transformers.
Designs and builds scalable data pipelines, integrates cloud data warehouses, and embeds AI models for clients in retail, energy, and industry using Snowflake, dbt, Talend, Python, and cloud platforms.
Build and optimize healthcare data pipelines, apply NLP to patient data, and improve ML algorithms for a secure, compliant medical data platform.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Build and expand cloud-based data platforms using Databricks, Azure, and Python to deliver BI, AI, and data engineering solutions for enterprise clients.
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