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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.
Lead a team to design and deploy AI/ML and GenAI solutions for insider risk detection, focusing on text processing, automation, and security workflows using Python and cloud tools.
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.
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.
Senior analyst builds and maintains credit-loss forecasting models for a major credit-card issuer, using Python, Spark, SQL and Linux to run quarterly reserve estimates under CECL and other regulatory frameworks.
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.
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