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Senior Data Scientist at a mobility-focused company using computer vision for digital parking, analyzing large datasets to drive revenue and improve product decisions with Python, SQL, and ML.
Data Analyst at a FinTech company in Tashkent who analyzes financial-product data to uncover growth opportunities and inefficiencies using SQL, Python, and BI tools.
Principal Machine Learning Engineer designs and implements ML models and systems for Atlassian’s products, leading architecture, experimentation, and MLOps while collaborating with cross-functional teams.
Develops and maintains scientific software to simulate neutral-atom quantum processors, modeling quantum dynamics, noise, and control protocols for researchers and engineers.
Designs and maintains data pipelines, builds analytics models, and creates reports using Azure tools, SQL, Python, and BI platforms to support enterprise decision-making and governance.
An onsite intern in St. Louis assists the Data Engineering team by building data pipelines, experimenting with ML models, and contributing to AI-driven initiatives like forecasting and automation using Python, SQL, and Azure.
Develops and maintains control software for industrial inspection robots and camera systems, working with Python, C++, and embedded systems in Zurich.
Develops and maintains control software for industrial inspection robots and camera systems, working with embedded systems, Python, C++, and UI design in Zurich.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
Develops AI-driven automotive systems using Python, LLMs, and agentic workflows, deploying scalable services on cloud and Kubernetes for in-vehicle infotainment and safety features.
Senior analyst modeling solar energy production and resource variability for utility-scale and distributed projects using Python, statistical tools, and industry software.
Lead a team of data scientists to deliver AI-driven marketing analytics for CPG, retail, and ecommerce clients, focusing on ROI, pricing, and demand forecasting using Python, SQL, and agentic AI.
Leads hardware and software testing for Dyson’s IoT products, using Python, data analytics, and automated dashboards to validate performance and drive quality improvements.
Design and build automated data labeling systems for Dyson’s AI-powered devices, using active learning and weak supervision to reduce manual annotation while ensuring high-quality training data.
Lead a team to design and deploy automated data labeling pipelines for machine learning models, using techniques like Active Learning and Weak Supervision to reduce manual annotation in Dyson's connected device projects.
Design and build automated data labeling systems for machine learning models, reducing manual annotation using active learning and weak supervision, while integrating with Dyson’s data infrastructure.
Designs and builds Python-based financial risk models and libraries for a major exchange group, turning raw market data into risk metrics used in clearing and settlement systems.
Design and build autonomous AI agents for enterprise automation, integrating with systems like ERP and CRM to optimize supply chain and customer experiences using Python, LLMs, and cloud AI services.
Develop and deploy AI/ML models to monitor and optimize transformer manufacturing processes using Python, Azure cloud tools, and time-series forecasting.
Build and deploy AI-driven agentic systems and LLM-powered applications using Python, LangChain, and vector databases for automotive infotainment and connected ecosystems.
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