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Top Machine Learning Jobs in Portugal
The Senior Machine Learning Engineer at Samsara will be responsible for developing ML solutions to enhance the safety, efficiency, and sustainability of physical operations. This remote position requires working closely with engineering teams to deliver core infrastructure and services.
The Threat Analyst, Machine Learning position at CrowdStrike involves analyzing malware and detections, improving detection capability, and responding to customer inquiries about threat detection. The role requires knowledge of malware, reverse engineering, programming languages like Python, and threat/risk management.
The Data Architect will lead the design and implementation of data products, collaborating with various product teams. Responsibilities include data modeling, ensuring adherence to data architecture guidelines, creating data quality standards, and managing a team of engineers. The position involves consulting on systems architecture and collaborating with Data Science teams.
Senior Research Developer responsible for designing and implementing large-scale recommendation systems to personalize content recommendations for millions of anime fans worldwide. Key responsibilities include system architecture design, data preprocessing, model training, and operational excellence. Requires 5+ years of experience in recommendation systems, proficiency in Python, and familiarity with TensorFlow and PyTorch.
Senior Machine Learning Engineer responsible for designing and implementing recommendation systems to enhance user engagement and satisfaction through personalized content recommendations. Will work on system architecture, data preprocessing, model training, measurement feedback, and operational excellence. Requires 5+ years of experience in large-scale recommendation systems, proficiency in Python, familiarity with TensorFlow, PyTorch, GPU optimization, and cloud platforms.
The Machine Learning Engineer at Capital One will engage in the design, development, and deployment of machine learning applications. Responsibilities include building ML models, managing production environments, and developing optimized data pipelines while collaborating with cross-functional teams to solve real business problems using innovative technologies.
As a Machine Learning Engineer at Capital One, you'll design, develop, and implement machine learning applications in an Agile team. Responsibilities include building ML models, collaborating with Data Science teams, ensuring code quality, and automating tests and deployment while leveraging cloud technologies for optimized performance.
As a Machine Learning Engineer at Capital One, you'll design and implement machine learning applications. Your role involves collaborating with product and data science teams, optimizing ML models, and ensuring effective deployment practices. Responsibilities include coding, data pipeline construction, and model monitoring, leveraging contemporary ML frameworks and cloud environments.
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The Senior Machine Learning Engineer will develop and implement innovative machine learning algorithms, focusing on forecasting to support revenue generation and user engagement. The role involves collaboration with business and engineering teams to build scalable models, along with quantifying business problems and mentoring junior engineers.
As the Applied AI ML Lead, you will lead a team of data scientists to develop AI/ML capabilities for fraud detection, collaborate with stakeholders, and work with technology partners on architectural solutions. Your role involves coaching junior members and ensuring compliance with data handling protocols while promoting innovation in AI/ML applications.
As a Senior Machine Learning Engineer at CrowdStrike, you will innovate machine learning technology for data science, create scalable microservices, build data pipelines, and collaborate across teams to enhance the cybersecurity platform. You'll engage in ongoing learning, maintain coding standards, and contribute to a collaborative environment while mentoring fellow engineers.
The Senior Machine Learning Engineer will design and deliver ML solutions, develop APIs, maintain ML infrastructure, mentor team members, and troubleshoot issues. They will engage in code reviews and collaborate with teams to create software products tailored to customer needs.
As a Machine Learning Engineer at Atlassian, you will develop and implement advanced machine learning algorithms, collaborating across business and engineering teams to build scalable recommendation systems. Your work will involve designing system architectures, conducting model experiments, and applying AI/ML to enhance business intelligence and growth.
The Senior Machine Learning Quality Engineer will maintain automation test frameworks, collect quality metrics, design testing strategies, create and execute test plans, and support engineering in troubleshooting. Strong automation skills in Python or Java are essential, along with experience in testing AI/ML models.
As a Data Scientist - Presales, you will engage with customers to understand their business problems, define strategies for data analysis, and deliver impactful proofs of concept and reports demonstrating the value of Pricefx software. You will collaborate closely with sales teams to assess data quality and develop machine learning models that support customer-specific objectives.
The Senior Machine Learning Engineer will design and implement ML pipelines to enhance identity verification, reduce inauthentic identities, and provide risk-based customer experiences. The role emphasizes mentorship, collaboration across teams, and the development of a robust ML platform for Cash App's extensive user base.
As a Machine Learning Researcher at Curai Health, you will drive innovation in telehealth by contributing to research-focused publications and product applications in primary healthcare. Collaborating with diverse experts, you will tackle complex healthcare challenges, mentor interns, and influence the direction of machine learning practices within the company.
The role requires leading the Credit and Data Science functions for Empower's international operations, developing risk models and credit policies, and launching innovative products to improve customer financial outcomes. The candidate will lead teams to analyze consumer behaviors and tailor solutions for different markets, contributing to business growth in Latin America and South East Asia.
Lead Credit and Data Science functions for international markets. Develop risk models, credit policies, and innovative products to enhance customer experience and business growth. Collaborate with teams to adapt strategies based on market-specific data and consumer behavior.
As a Staff Data Scientist at Empower, you will develop risk models and credit policies to drive competitive underwriting practices. You will lead teams to analyze consumer behaviors and adapt solutions for the Latin American market, enhancing customer financial well-being. This role is pivotal for launching innovative financial products and requires tackling complex geographic challenges.
The Staff Data Scientist is responsible for developing and implementing machine learning models and analytics to drive business growth and improve customer financial situations. This role requires close collaboration with product, tech, and finance teams, and involves the entire model development process from conception to deployment, focusing on credit risk models to enhance approval rates and reduce loss rates.
As a Senior Manager in Machine Learning Engineering, you will design, build, and optimize machine learning systems, collaborate with Agile teams, and lead projects focused on ML model implementation and deployment using various technologies. Your role includes model training, data pipeline construction, and ensuring adherence to best practices in machine learning and AI.
Join the Predict team to enhance Alloy's machine learning fraud capabilities by architecting scalable systems, collaborating with multiple teams, and developing machine learning algorithms. You'll ensure low latency and high availability by managing interfaces between systems and participating in feature generation and on-call rotations.
As a Senior Distributed Systems Engineer (Machine Learning), you will develop and maintain high-quality, scalable AI solutions and services for a Machine Learning Platform. You will collaborate with product and engineering stakeholders to understand requirements, minimize deployment risks, and integrate AI innovations into product development, ensuring the delivery of tangible business value.
In this role, you will develop AI/ML strategies to enhance customer support, lead the development of natural language processing systems, and collaborate with other teams to integrate ML capabilities into Canva's product offerings.
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