Top Machine Learning Jobs in Leon

Develop and maintain AI-powered forecasting models, apply machine learning techniques, and collaborate across teams to integrate intelligent systems into business processes.

As Vice President in Quantitative Research Sales Analytics, enhance trade idea generation, improve efficiency, and promote monetization using data analytics and quantitative skills.

Lead innovation in predictive modeling, design ML solutions, collaborate with stakeholders, and enhance value measurement systems to drive Block's growth.

As a Senior Applied Scientist, you will develop and deploy large language models, collaborate on AI projects, and improve AI features for Datadog.

Lead and mentor a team of Machine Learning engineers to design, deliver, and optimize ML systems that impact business revenue while collaborating with cross-functional teams.

Lead and mentor a team of fraud analysts to identify and mitigate fraudulent activity. Collaborate with cross-functional teams to improve fraud detection processes and develop ML models for risk management.

The TECH Program Associate will gain experience in data science and engineering across multiple teams, completing projects and presenting results. Responsibilities include coding, collaborating on data products, and analyzing requirements.

The role involves researching and applying machine learning methods, developing models for NLP and related tasks, and collaborating across teams for production deployment.

As a Model Risk Program Associate, you'll validate models, assess risks, communicate findings, and uphold standards in model governance.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The role involves leading AML activities, supporting transaction monitoring systems, conducting financial crime investigations, and developing compliance tools.

The Business Solutions Manager will support reporting and analytics for NBCUniversal's Studio Group, engaging with stakeholders to enhance data-driven decision-making, overseeing technical teams, and managing application ecosystems.

Develop and implement software solutions for automated trading systems, working with quantitative researchers on complex financial challenges.

As a PhD intern, utilize machine learning and AI to analyze data, implement algorithms, conduct research, and back-test models

The Principal Quantitative Analyst will develop analytical models, work with cloud-based solutions, and collaborate across business teams to enhance Capital Markets modeling and improve business performance using quantitative and machine learning methods.

Develop and implement software solutions for automated trading systems, utilizing advanced statistical techniques to solve financial challenges.

As a Quantitative Research Engineer Intern, you will develop and implement automated trading software while collaborating with the Quantitative Research team to solve complex financial challenges.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

Join the AI team as an ML Engineer to integrate AI technologies into Notion's product, enhancing model accuracy and deploying innovative solutions.

As a Data Engineering Intern, you'll work on data pipelines, cloud infrastructure, and data quality, collaborating on projects using AI and DevOps tools.

The Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

The Data Owner Lead manages data quality, integrity, and governance, driving data solutions aligned with business objectives and fostering a data-driven culture.

This co-op position involves supporting Supply Chain Analytics by developing data engineering solutions, business dashboards, and predictive models while gaining industry exposure and mentorship.

The role involves gaining experience in supply chain analytics, working on data engineering, business dashboards, and predictive models, while engaging in project work and mentorship.

As a Research Scientist, you will develop and deploy ML models, enhance valuation systems, and collaborate on data integration for improved decision-making.