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Designs offline data architectures for TikTok’s large-scale recommendation systems, building scalable storage and computing systems while applying data mining and NLP to extract insights from big datasets.
Designs and maintains scalable data pipelines for NLP, GenAI, and ML workloads to extract insights and support AI initiatives in a product-focused team.
Designs and optimizes large-scale recommendation systems using AI/ML, focusing on cost-efficiency, multimodal data, and adaptive tuning for e-commerce.
Lead AI initiatives for banking clients, designing GenAI chatbots and automation workflows using Microsoft AI tools and LLMs, while mentoring teams and aligning AI projects with business goals.
Lead the design and delivery of enterprise-scale data platforms for a bank, building scalable Lakehouse architectures with Databricks, Snowflake, and Apache Iceberg/Delta Lake/Hudi to support regulatory reporting, risk management, and AI-driven analytics.
Backend engineering intern on TikTok’s recommendation architecture team, optimizing large-scale systems for stability, performance, and cost-efficiency using C++/Python and AI-driven tuning.
Build and optimize TikTok’s recommendation system architecture, focusing on stability, performance, and cost-efficiency for large-scale AI-driven feeds.
Designs and maintains scalable data pipelines for clinical and sensor data, integrating ML/NLP/LLM workflows with Spark, Beam, and Airflow on AWS to support healthcare analytics.
Build and maintain AI-powered data pipelines for clinical and sensor data, integrating with cloud platforms and AI algorithms to support healthcare analytics.
Build and optimize resource scheduling systems for ML platforms, orchestrating GPUs, CPUs, and accelerators across distributed clusters to support training, inference, and evaluation workloads.
Builds backend infrastructure for ML platforms that schedule and run training, evaluation, and inference workloads across NLP, CV, and speech tasks on heterogeneous GPUs and CPUs in multi-cloud environments.
Наша команда занимается развитием AI-зрелости компаний экосистемы B2B. Сейчас мы ищем неравнодушного специалиста с обязательным опытом в области GenAI на позицию ML-инженер. Предстоит заниматься разработкой и…
Builds and leads the data infrastructure for Google Cloud’s AI agents, designing scalable pipelines, semantic models, and real-time systems to power secure, high-performance generative AI applications.
Build and scale AI-powered recruiting tools in Python on Kubernetes/AWS, integrating NLP and agentic systems to connect job seekers with employers at enterprise scale.
Build and deploy AI-driven travel systems: optimize airline networks, automate agency workflows, and enhance retailing using ML, GenAI, and MLOps on GCP.
Builds and scales an AI-driven platform that ingests enterprise data, maps workflows, and automates complex processes using Python, JavaScript, and cloud-native tools.
Build and deploy AI-powered media solutions using LLMs and ML models, integrating cloud-native services and MLOps pipelines in Python/JavaScript.
Principal Software Engineer at EY leads complex AI and cloud-native projects, designing scalable solutions in C#/Java/Python and optimizing AI models for production use.
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents on AWS SageMaker to automate insurance workflows and support data-driven decisions across the business.
Build and deploy NLP and GenAI models to automate financial processes and support data-driven decisions within a large UK building society.
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