Top Machine Learning Jobs in Lisbon
The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to assess business risks. This role involves working with both structured and unstructured data to derive insights and requires collaboration with Product Management and Software Engineers over two-week sprints.
Kalepa is seeking a Senior Machine Learning Engineer to lead the development and deployment of machine learning models. Responsibilities include transforming structured and unstructured data into insights about risk, collaborating closely with product managers and software engineers, and owning project direction within agile sprints.
The Machine Learning Engineer will lead the development and deployment of machine learning models to evaluate business risks. Responsibilities include transforming large datasets from various sources into actionable insights, while collaborating with Product Management and Software Engineers within a sprint-based workflow.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to evaluate business risks using large datasets. Responsibilities include collaborating with product management and software engineers while driving project direction and ownership of model outcomes in a fast-paced environment.
The Machine Learning Engineer will frame, develop, and deploy machine learning models to assess risks for various businesses, utilizing diverse data sets including structured, unstructured, web, and satellite data to derive insights on behavior and risk.
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Principal Machine Learning Engineer needed at Twilio to spearhead ML/AI focused research projects, build prototypes, and explore emerging technologies. Responsibilities include researching new ML and AI technologies, building prototypes, collaborating with cross-functional teams, and influencing steering committee discussions on AI usage. Must have 10+ years of hands-on engineering experience.
Kalepa is seeking a Senior Machine Learning Engineer to lead the development and deployment of machine learning models, focusing on understanding business risks using vast amounts of structured and unstructured data. The role involves collaboration with Product Management and Software Engineers, as well as full ownership of projects within a two-week sprint framework.
As a Machine Learning Engineer at Kalepa, you will develop and deploy machine learning models to analyze business risks from diverse data sources. You are responsible for leading projects, collaborating with Product Management and Software Engineers, and driving innovative solutions in a fast-paced environment.
Featured Jobs
Seeking a VP, Data Science & ML to lead modeling and AI/ML initiatives across the enterprise. Responsibilities include setting strategic direction, managing existing models, collaborating on machine learning platform deployment, and leading a team.
As a Machine Learning Engineer at Kalepa, you will develop and deploy machine learning models to assess business risks using diverse data sources. You'll lead projects, work in sprints, and collaborate closely with Product Management and Software Engineers to deliver insights and improvements.
The Senior Sales Analyst will lead analyses that drive strategic decision making for the commercial organization, focusing on financial forecasting, building models, and creating dashboards to present actionable insights. Responsibilities include supporting the development of metrics, mentoring other analysts, and designing new processes for team efficiency.
Lead the development and deployment of machine learning models at scale for understanding business risks. Collaborate with product management and software engineers, processing structured and unstructured data into actionable insights.
As a Machine Learning Engineer at Kalepa, you will develop and deploy machine learning models to assess the risk of various businesses using structured and unstructured data sources. You'll lead projects, work closely with product and software teams, and maintain project focus within agile sprints.
As a Senior Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models using structured and unstructured data to assess risks. You will have ownership of projects and collaborate with product management and software engineering teams, working in two-week sprints.
As a Machine Learning Engineer, you will lead the framing, development, and deployment of machine learning models. Responsibilities include turning structured and unstructured data into insights about business risk, collaborating with product management and software engineers, and driving project direction. You will work within a two-week sprint framework.
Join Hims & Hers Analytics and Data Science team to engage in data-driven decision making, improve user experience, and contribute to product development. Collaborate with business leaders, marketers, and product teams to drive analytical insights, and leverage machine learning for innovative solutions across the organization.
As a Senior Machine Learning Engineer, you will oversee the development and deployment of machine learning models at scale. Your role involves transforming large volumes of structured and unstructured data into actionable insights regarding business risks, working collaboratively with Product Management and Software Engineers.
As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to analyze business risks, utilizing structured and unstructured data from multiple sources. You'll have ownership over projects and will work collaboratively with Product Management and Software Engineers in a sprint-based environment.
As a Machine Learning Engineer, you will lead the development and deployment of machine learning models aimed at assessing business risks using both structured and unstructured data. You will collaborate with Product Management and other engineers while managing projects independently in a sprint-based environment.
The Data Scientist II role involves building machine learning models, researching product and customer behavior data for improvements, and employing predictive analytics techniques. You'll be responsible for conducting advanced data collection and analysis, making recommendations for data systems enhancement, and supporting the creation of complex machine learning algorithms.
As an AI Tutor, you'll teach and evaluate AI models on data science principles, including statistical modeling, machine learning, and data visualization. You'll provide feedback to enhance AI understanding and conduct tests to identify model vulnerabilities and biases.
The position involves leading a team to create innovative technology that integrates natural language processing, big data, and artificial intelligence to enhance digital communication. The candidate should have extensive experience in relevant fields and demonstrate leadership and collaboration skills.
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.
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