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At River AI, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, custom training…
Deploys and fine-tunes vision-language and visual foundation models for industrial clients, integrating them into manufacturing, logistics, and other operational systems.
Research and develop advanced computer vision and AI models for public safety and justice solutions, optimizing for performance and edge deployment.
Rescale is pioneering the future of engineering and scientific discovery. As the leader in digital engineering, we’re transforming how products are developed—through intelligent automation, applied AI, data management,…
Build and validate ML models for real-time audio/video processing, optimizing performance and reliability for media tech products.
Title - AI/ML Engineer ( Must Have skills - Python, Gen AI, ML Modeling, SQL, Pytorch) Location - New York, NY ( Hybrid 3 days onsite) F2F Final Round Job Description: Analyze large and complex datasets to derive…
Build AI/ML models that optimize infrastructure design and reduce CO₂ in the built environment using Python and frameworks like PyTorch or TensorFlow.
Build and deploy NLP models (Transformers, LLMs) for text analysis, RAG, and multi-agent systems on a cloud-native data-processing platform handling 10M events and 10TB daily.
Build and maintain AI-driven debt collection models using machine learning and reinforcement learning in Python, collaborating with cross-functional teams to deliver measurable business impact.
Build and maintain cloud-native MLOps pipelines for AgZen’s precision agriculture AI, processing multimodal sensor data to improve crop-spraying models and recommendation engines.
Build and deploy production-grade LLM and NLP systems that turn multilingual news, economic events and market narratives into real-time, explainable market intelligence for financial institutions.
Designs and oversees the architecture of AI-driven automotive systems and data flows, selecting tech stacks and ensuring scalability and reliability.
Build, deploy, and optimize production AI systems including LLMs and generative AI models, focusing on inference pipelines, performance, and cost efficiency.
Lead architecture and deployment of production AI systems, optimizing inference pipelines and mentoring engineers in a fast-growing company.
Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation,…
Build and deploy generative AI models (LLMs, multimodal) using Python, PyTorch, and Azure; engineer features, evaluate models, and ship solutions to production.
Build and deploy AI/ML models end-to-end using Python and frameworks like PyTorch or TensorFlow, integrating them into production systems.
Builds and trains ML models to predict customer behavior, analyzes data for patterns, and helps deploy models into production pipelines for Sberbank’s products.
Стажировка в команде Сбербанка, разрабатывающей ML-модели для прогноза оттока клиентов и анализа их поведения с использованием Python, SQL и классических алгоритмов.
Senior Data Scientist builds ML models (XGBoost, time-series, recommendations) end-to-end, engineers features from terabyte-scale data, and deploys solutions in production for a top-3 Russian digital bank.
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