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Research intern at Databricks focusing on adapting large language models and AI systems for enterprise domains using deep learning, PyTorch, and domain adaptation techniques.
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We…
Designs and implements big data architectures for enterprise customers using Databricks' platform, APIs, and open-source tools like Spark and MLflow, while collaborating with sales and engineering teams.
Build AI/ML models and data pipelines for a microfluidic blood-analysis device, turning raw sensor data into clinical diagnostics and deployable prototypes.
Build and maintain data pipelines, analyze large datasets, and create ML models to drive business decisions using SQL, Python/R, and cloud/data tools.
Leads AI/ML research and applied data science for national security, developing large-scale models and collaborating with multidisciplinary teams to solve complex problems in physics, medicine, and materials science.
Designs and builds AI-powered features for a work-management platform, focusing on large language models and machine learning to automate tasks and surface insights.
Builds and deploys customer-facing solutions on a platform using Python, React, and AI/ML, collaborating closely with clients and senior engineers to translate requirements into production-ready software.
Lead a team of data scientists to build and deploy ML solutions like GNNs, LLMs, and fraud detection models for Crunchyroll’s anime platform, guiding ML pipelines and infrastructure.
Build and maintain ML infrastructure and pipelines for anime-streaming platform, deploying models with AWS SageMaker, Databricks, and Kubernetes to power recommendations and system health monitoring.
Design and build production-grade software pipelines that transform raw hyperspectral satellite data into calibrated, georeferenced, analysis-ready products using Python, GDAL, and cloud infrastructure.
Leads AI/ML engineering teams to design and deploy production-grade AI solutions (LLMs, classical models, agent systems) for consulting clients, focusing on architecture, context engineering, and fine-tuning pipelines while supporting pre-sales and strategy.
Build and deploy cutting-edge LLM, multimodal LLM, and computer-vision models for cloud, devices, and robotics to enhance law-enforcement and public-safety applications.
Привет! Это команда Базовых ML Моделей. Мы строим единую систему оценки качества ML-решений в Озоне — от классических моделей до больших языковых моделей. Наша задача — находить лучшие ML-разработки внутри компании,…
Develops and optimizes neural networks for Nintendo’s hardware/software tech, writing scripts for model training/evaluation and collaborating with teams on data procurement, model performance, and documentation.
Build and deploy AI-powered healthcare platforms using LLMs, full-stack development, and MLOps in a remote role for a health-tech company.
Design and train transformer-based foundation models for particle physics using calorimeter data, optimizing for multi-task capabilities and computational efficiency in a collaborative EU-funded project.
Internship developing cutting-edge large language models: training, fine-tuning, benchmarking, and optimizing inference engines for state-of-the-art AI foundations.
Builds and maintains credit risk/repayment models for Clair’s fintech platform, using ML to assess risk, predict user behavior, and optimize credit decisions. Works with transaction data, deploys models in production (AWS/Snowflake), and collaborates with product/risk teams.
Build and maintain MLOps/LLMOps infrastructure on GCP to deploy and scale AI/ML models, collaborating with researchers and engineers to bring experiments into production.
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