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Build and automate Apple Ads’ Snowflake-based cloud data warehouse on AWS, using Iceberg lakehouse tech and Python to deliver reliable, scalable advertising analytics and pipelines.
Lead the design and optimization of database systems that power both business apps and AI-driven solutions, including vector databases and LLM integrations, while mentoring the team.
Who we are We simplify wealth creation. Founded in 2014 in Vienna, Austria by Eric Demuth, Paul Klanschek and Christian Trummer, we’re here to help people trust themselves enough to build their financial freedom — for…
Build and fine-tune LLMs and RAG systems using TensorFlow, PyTorch, and LangChain, while maintaining scalable ML pipelines in cloud environments like AWS or Azure.
Lead the design and deployment of AI-driven time-series forecasting models for financial risk, FX exposure, and treasury planning using Python, ARIMA, XGBoost, and Prophet.
Build and deploy ML/AI models end-to-end, from data exploration to production, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/GCP/Azure.
Data scientist validating and improving ML scoring models for B2B credit risk at a fintech bank, translating model outputs into limit strategies and monitoring portfolio performance with Python, SQL, and Airflow.
Build and deploy AI-powered features that extract insights from financial data using NLP, LLMs, and scalable systems in a fintech environment.
📍 Location: EU-based 💼 Cooperation type: Full-time 🧭 Work format: Remote Stape is a global product-driven IT company and the #1 leader in the server-side tracking market. We’re building a powerful, technically…
Analyzes B2B SaaS product data for VK WorkSpace, builds ETL pipelines, calculates metrics, and runs A/B tests to guide product decisions.
Build and scale data-centric AI models for autonomous driving, curating massive real-world and synthetic datasets to train perception, trajectory, and behavior models that directly improve on-road safety.
Build predictive risk models (credit, financial, operational) using Python/R to forecast NPV, FX, liquidity, and uncertainty for a fintech company.
Analyze environmental datasets to detect and quantify industrial emissions using Python and atmospheric science, collaborating with engineers to build sustainability-focused monitoring tools.
Leads a team of 6 data scientists to build custom AI/ML models and exploit complex datasets for defense and technology projects.
Build and maintain classical ML models (clustering, unsupervised learning) in Python/SQL, taking models from prototype to production in a collaborative engineering environment.
Build and deploy ML/LLM systems for personalization and teacher support in an edtech startup, owning the full lifecycle from modeling to deployment and monitoring.
Leads AI initiatives, designs and iterates LLM prompts, and builds enterprise AI solutions like copilots and chatbots using Python, LangChain, and vector databases.
Designs and refines AI prompts for enterprise copilots and low-code tools, runs rapid experiments, and consults cross-functional teams to implement generative-AI solutions in Python and cloud platforms.
Build and integrate generative-AI and ML solutions in Python to automate business processes, design LLM-based pipelines, and deploy scalable AI systems for document processing and data workflows.
Build and own a data stack for a fast-growing wellness e-commerce brand: consolidate Shopify, Amazon, TikTok Shop, and ad data into a warehouse, model unit economics, and deliver dashboards that guide every operational decision.
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