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Build and scale predictive models and LLM-powered AI agents on Azure/Fabric to drive commercial decisions in LATAM, using Python, RAG, and MLOps.
Builds and deploys ML models in Python (scikit-learn, PyTorch) to solve industrial problems, then monitors and troubleshoots them in production.
Build and optimize data pipelines and warehouses (Snowflake, Azure, Databricks) to transform investment data into clean, analysis-ready formats for strategic decision-making.
Build and maintain scalable data pipelines and warehouses using Python, SQL, Spark, and cloud tools to ensure clean, accessible data for analytics and AI services.
Support and enhance a real-time risk engine for perpetuals, spot assets, and prediction markets. Design risk metrics and position limits, develop tail-risk and margin models, build monitoring and alerting systems,…
Build AI models that turn satellite and environmental data into actionable climate insights, using Python, geospatial libraries, and deep learning to assess risks and support energy infrastructure decisions.
Builds and improves machine-learning models for football analytics, using Python, SQL, and advanced stats to deliver insights for fans, bettors, clubs, and scouts.
Build and deploy ML models to detect fraud like account hacks, auto-registrations, and account rentals on a large classifieds platform using Python, NLP, and PyTorch.
Build and evolve a financial data platform using Python/Django backend and React frontend, integrating AI features and data pipelines while improving scalability and performance.
Analyze on-chain blockchain data (DeFi, trading, stablecoins) to produce insights that guide product and ecosystem strategy, using SQL, Python, and tools like Dune Analytics.
Build and deploy AI systems—LLMs, agents, and hybrid ML models—to automate financial controls for large enterprises, using Python and modern AI tools in a fast-paced fintech scale-up.
Intern Data Scientist building ML pipelines for insurance risk scoring, testing deep-learning models, and fine-tuning language models to power a digital assistant.
Builds data models and pipelines for connected-vehicle analytics, using Python, PySpark, SQL and cloud tools to extract insights and power Targa’s mobility products.
Build and maintain scalable data pipelines and transformations using Python, SQL, dbt, and Snowflake to power BI, analytics, and AI initiatives in a modern DataOps environment.
Senior Data Analyst at Kaspi.kz builds end-to-end analytics—from hypotheses to ML models—to drive product and business decisions using sales, conversion, and customer behavior data.
Data Scientist builds ML models and data pipelines to turn military intelligence data into actionable insights for Air Force Special Operations Command using Python, R, Spark, and cloud platforms.
Build and deploy a data-science system that powers UK property insights, using Python, Azure, Docker, and PyTorch.
Senior Data Scientist Consultant designs and delivers AI/ML solutions for public sector and enterprise clients, from prototyping to production deployment, using Python, PyTorch, and MLOps.
Build and train AI agents (Python, LangChain/LangGraph) to detect early risk signals in small-business loan portfolios, designing scalable multi-agent pipelines and cohort-analysis tools for real-time decision support.
nSure.ai is the payment fraud prevention provider of choice for Crypto, Gaming and Gift Cards. We offer a managed service based on adaptive AI that deploys, for each customer, a dedicated model trained on their data.…
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