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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.
About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to…
Develop and deploy machine learning models and data pipelines to support AI solutions in healthcare aesthetics, using Python, cloud platforms, and MLOps practices.
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.
Embeds with biomedical teams to build and deploy data/AI applications on Palantir Foundry, turning research problems into production-ready solutions with a focus on user workflows and operational durability.
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.
Leads a team to build end-to-end BI solutions and trusted insights for financial decision-making using SQL, Python, Power BI/Tableau, and cloud data warehouses.
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.
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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