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Стажер Data Science разрабатывает ML-модели для прогнозирования досрочных погашений кредитных портфелей (потребительские кредиты, ипотека, автокредиты, POS) в Сбербанке. Использует Python, SQL, Spark и классические ML/DL подходы для анализа банковских данных и объяснения результатов бизнесу.
The Senior Data Scientist will build machine learning models and perform causal analysis to understand customer value, behavior, and segmentation for client engagements. The role requires strong Python and SQL skills to translate complex data into actionable business recommendations.
Build end-to-end production-grade data products using Databricks, Spark, Python, SQL, and Kafka, spanning data pipelines, REST APIs, and lightweight applications for a partner company based in India.
Builds and deploys end-to-end ML/GenAI solutions for financial services clients, including data pipelines, model training, GenAI workflows, and production monitoring in regulated environments.
Specialist Data Engineer building scalable pipelines and MLOps frameworks on Databricks and GCP, using PySpark, Airflow, and MLflow.
Builds and deploys AI/ML models for Telstra’s operational systems, translating data into actionable business insights. Focuses on feature engineering, model development, GenAI integration, and end-to-end solution design with cross-functional teams.
Design and deploy AI/ML solutions—including GenAI, RAG architectures, and agentic AI—for a European financial group, using Python, LLMs, vector databases, and cloud platforms.
Senior Data Scientist designing and implementing advanced analytics, predictive models, and Databricks dashboards to identify revenue leakage and recovery opportunities for the Defense Health Agency's RevOS initiative.
Builds and deploys predictive/prescriptive ML models for procurement, manufacturing, and sales at a global snacks producer, integrating AI into agentic workflows and bridging technical rigor with business decision-making.
Platform Engineer building and maintaining ASOS's data science and AI platform—standardising data pipelines, ML workflows, and AgentOps capabilities using Python, Spark, Azure Databricks, and Terraform in London.
Data Scientist at Deutsche Welle developing analysis projects, ML/AI models, and MLOps pipelines to support data-driven journalism and audience insights using Python and common ML frameworks.
Data Scientist in Pune applying ML, LLMs, and predictive modeling on complex datasets to drive data-driven decisions in retail/quick commerce, using Python, SQL, and statistical techniques.
Build and optimize AI/ML models for computer vision tasks using TensorFlow/PyTorch, deploying scalable solutions on AWS with CI/CD pipelines.
Lead the architecture and implementation of AI/ML systems, collaborating with data scientists and engineers. Core tech includes Python, TensorFlow, AWS, and Scikit-learn.
An experienced ML Engineer leads technical strategy, designs scalable ML systems, and mentors teams to drive innovation in AI-driven products for a global tech company.
Design and implement machine learning models using Python and TensorFlow, collaborating with cross-functional teams to integrate ML algorithms into production systems in a fully remote freelance role.
Builds and maintains scalable ML pipelines for model training, deployment, and monitoring, collaborating with data scientists and engineers to optimize AI workflows and cloud infrastructure.
Design and implement AI systems, including NLP, computer vision, or generative models, using Python and frameworks like TensorFlow/PyTorch.
Build and deploy AI/ML models (LLMs, RAG, NLP, generative AI) on a large-scale platform using Python, TensorFlow, Scikit-learn, and AWS, with full MLOps and data engineering responsibilities.
Lead the design and implementation of a large-scale AI/ML platform focused on intelligent automation, predictive analytics, NLP, and generative AI using Python, LLMs, RAG, AWS, TensorFlow, and MLOps in a fully remote freelance role.
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