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Develops AI agents and LLM systems for Sberbank’s ATM network, including pipeline building, model experimentation, and quality assessment. Works on both modern AI solutions (LLMs, RAG) and traditional ML/NLP tasks like text classification and embeddings.
IBM is seeking a Data Scientist to architect and deliver AI solutions, focusing on foundation models, large language models, and cognitive computing. The role involves managing the full AI project lifecycle using Python, various AI frameworks, and cloud platforms to solve complex business problems.
Senior AI & Data Scientist builds, deploys, and evaluates ML models end-to-end, from forecasting to LLM fine-tuning, while mentoring junior team members and translating technical results for clients.
Senior AI & Data Scientist who designs, builds, and deploys end-to-end ML models (forecasting, classification, LLM fine-tuning) for enterprise clients, bridging business needs with technical execution.
About the job Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.We sit at the…
Develops AI-driven predictive models and algorithms for sportsbook risk management and odds trading, leveraging sports data, betting transactions, and user interactions to improve product performance.
Description • Develop classification and clustering models on tabular data to support hematology analyzer capabilities • Contribute to model development, evaluation, and iteration under the guidance of a senior data…
The Senior Data Scientist will develop, validate, and maintain predictive credit risk models for unsecured personal lending products. The role involves using Python, R, or SAS to analyze data and optimize credit decisioning strategies within a fast-growth fintech startup.
Senior full-stack AI/ML engineer building enterprise-scale applications with Vue.js, TypeScript, Python/Flask, PostgreSQL, and cloud platforms, while developing and deploying machine learning and deep learning algorithms.
Requisition Number: 105937 Principal Data Scientist Focus Clinical / HLS, Google Cloud Gen AI, Agents, and Applied ML Location Nashville, TN area preferred Insight at a Glance 14,000 engaged teammates globally $8.2…
Data Engineering: Entwicklung, Betreuung und Optimierung von Datenmodellen, Datenverarbeitungsprozessen und Python Tools für Datentransformationen Data Analysis: Entwicklung und Automatisierung von Reports und Ad hoc…
Easybrain is seeking a Data Scientist to develop and deploy machine learning models for ads monetization, LTV prediction, and game personalization. The role involves end-to-end ownership of models using Python, PyTorch, and LightGBM within a mobile gaming environment.
Salary: £26,000 - 35,000 per year Requirements: No previous experience required Willingness to complete full data science training and certification Ability to complete online courses, practical projects, and portfolio…
Leads AI/ML engineering for a global 'Agentic Factory,' designing and deploying production-grade generative AI, multi-agent workflows, and automation systems. Oversees cloud-based MLOps/LLMOps pipelines on GCP, mentors engineers, and bridges business needs with technical execution.
О команде: Мы — команда Speech Lab ML, которая фокусируется на бизнес-задачах и результате. Мы строим AI-систему, которая анализирует разговоры менеджеров и клиентов и помогает находить факторы, влияющие на успешность…
Data scientist at Cabify builds and deploys ML models to optimize mobility services, pricing, fraud detection, and user experience across 40+ cities using Python, SQL, and statistical methods.
Senior Data Scientist at Cabify in Madrid builds and deploys ML models to optimize mobility services, pricing, fraud detection, and user experience using Python, SQL, and production-grade data pipelines.
The Senior Data Scientist will work within Wesfarmers Health to support their portfolio of health, beauty, and wellness brands by leveraging data to improve customer experiences and accessibility.
Build and maintain predictive models (GLM, XGBoost, Random Forest) for insurance underwriting and claims using Python and AWS SageMaker, then deploy them to production.
Builds and optimizes ML models for fraud detection and risk assessment, collaborating with cross-functional teams to deploy scalable solutions using Python, SQL, and ML libraries like Scikit-Learn and PyTorch.
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