Top Machine Learning Jobs in Lisbon
The Machine Learning Engineer will be responsible for leading the development and deployment of machine learning models to assess business risks, utilizing structured and unstructured data to generate insights. This role involves close collaboration with Product Management and Software Engineering teams in a sprint-based environment.
The Research Scientist will lead research and develop optimization algorithms for energy market participation, asset management, and risk management. Responsibilities include utilizing research insights to guide product direction, collaborating with various teams, and driving innovation within the company.
The Quantitative Associate will develop models supporting decision making in revenue functions, focusing on sales of renewable power, management of solar generation assets, and optimization of battery storage. Responsibilities include designing risk management tools, conducting market analysis, and creating innovative products to maximize profitability and minimize risks.
The Sr. Principal Data Scientist will assess data management within NSIC, develop data infrastructure guidelines, implement a data lifecycle management framework, ensure data quality, leverage advanced analytics techniques, and identify capacity building programs for personnel.
As a Sr. Data Scientist, you will lead the development of advanced scoring and indexing models for predicting business outcomes, collaborate with teams to integrate solutions, conduct data analysis, and ensure the accuracy of models while communicating insights to stakeholders.
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As a Machine Learning Engineer at FanDuel, you will leverage data to enhance customer experiences and drive business insights. You will collaborate with engineering and data teams to manage data and develop AI-powered insights, turning user interactions into actionable knowledge.
The Business Intelligence Developer will design and implement BI solutions, create reports, dashboards, and visualizations from complex data. They will collaborate with stakeholders to understand data needs and enhance existing BI systems for accuracy and efficiency in data-driven decision-making.
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As a Staff Data Engineer, you will lead the evolution of the CS Data Platform, building and maintaining data pipelines and APIs, collaborating with cross-functional teams to improve data handling capabilities for AI-driven customer support solutions.
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As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.
As a Data Scientist on the Growth team at Wave, you will design, run, and analyze experiments to enhance product features and customer experiences. The role involves working closely with operations and product teams to generate insights from data, applying statistical modeling and machine learning, and communicating findings to stakeholders.
Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines. Drive innovation, mentor team members, ensure data quality and resilience, and collaborate with cross-functional teams to deliver impactful data solutions.
The Staff Engineer will lead the design and development of GenAI-powered product capabilities, driving technical delivery through the feature lifecycle. Responsibilities include identifying opportunities for AI/ML applications, collaborating across teams, owning service uptime, and developing automation and microservices.
The Senior Payments Growth Analyst at LastPass will analyze payment processes using data analytics and machine learning to optimize customer experiences, reduce churn, and drive growth strategies. The role involves collaboration with multiple teams to enhance payment solutions and improve metrics related to customer acquisition and retention.
As a Senior Data Scientist at RVO Health, you'll design, implement, and maintain recommendation systems while collaborating with business stakeholders. You will focus on model development, optimization, and effective communication of complex data science concepts, contributing to decision-making and project execution in a hybrid work environment.
As a Senior Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to assess business risk, utilizing various data sources. You will collaborate with product management and software engineers, taking ownership of projects and driving their direction in agile sprints.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess risk for various business sectors, utilizing structured and unstructured data sources. You will take ownership of projects and collaborate closely with product management and software engineers in a two-week sprint environment.
As a Senior Machine Learning Engineer, you will lead the development and deployment at scale of machine learning models. Your role involves processing and analyzing vast amounts of structured and unstructured data to generate insights on business risks, collaborating with Product Management and Software Engineers on projects in a fast-paced environment.
As a Research Scientist on the Interpretability team, you will develop methods for understanding large language models through the reverse engineering of algorithms within neural networks. This involves designing and conducting robust experiments to achieve mechanistic interpretability, aimed at improving the safety and performance of AI systems.
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