Top Machine Learning Jobs in Lisbon
The Head of Emerging Technology & Data Science is responsible for driving advanced technology and analytics integration within Hartford Funds. This role involves leading innovation in AI and machine learning, collaborating with stakeholders to identify solutions, and maintaining a catalog of AI solution patterns. The individual will report on progress, serve as a thought leader, and represent the company in the investment community.
As a Senior Data Scientist at Pinterest, you will leverage your expertise in quantitative modeling and experimentation to tackle complex engineering challenges, collaborating cross-functionally to provide insights that enhance product development for millions of users.
The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.
As an AI Research Scientist, you will advance AI/ML algorithms for robotics, integrate solutions into robotic applications, and publish research findings. The role requires collaboration with cross-functional teams and focuses on innovation in AI technologies for autonomous robots.
Conduct research and engineering in distributed systems to develop AI solutions for autonomous driving and robotics. Collaborate with global teams and universities, integrate research findings into Bosch platforms, and contribute to strategic planning with technology insights.
The Research Scientist will conduct advanced research in reliable distributed systems using AI to enable AIoT solutions for autonomous driving and robotics. Responsibilities include collaboration with global teams, research implementation, and documentation for high-caliber publications.
As a Machine Learning Engineer at Kalepa, you will lead the framing, development, and deployment of machine learning models to assess the risk of different businesses, utilizing extensive structured and unstructured data. You will take ownership of projects, collaborate with Product Management and Software Engineers, and work in two-week sprints to deliver insights on behavior and risk.
As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.
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The Data Science Manager will lead a team of data scientists, engineers, and analysts, overseeing project execution, business development, and mentoring technical staff. The role involves establishing processes for quality solutions, directing complex data science programs, and communicating with senior management.
The Senior Machine Learning Engineer will develop advanced algorithms for humanoid robotics using imitation learning and reinforcement learning. Responsibilities include designing machine learning models, optimizing training processes, and contributing to team collaborations to push the boundaries of robotics technology.
The Data Scientist II role involves applying skills in AI, machine learning, and advanced analytics to develop data-driven solutions. Responsibilities include leading analytical projects, creating scalable models, collaborating with business partners to meet objectives, and promoting data science within the company.
The Generative AI Data Scientist will develop and enhance AI solutions for telematics applications. Responsibilities include implementing generative AI models, analyzing telematics data for insights, and optimizing model performance through collaboration with cross-functional teams.
As a Data Scientist at Demandbase, you'll contribute to machine learning projects that enhance the B2B buyer journey, analyze large datasets, develop and refine models, and collaborate across teams to integrate insights into workflows. You will present findings to various stakeholders using data visualizations.
As a Senior Staff Data Scientist at Moloco, you will analyze large datasets, develop experiments, and build metrics to measure campaign performance. You'll influence R&D decisions, improve machine learning and bidding systems, and evaluate the health of the ads system, while mentoring junior data scientists.
As a Senior Data Scientist at Moloco, you'll conduct deep analyses to support R&D decisions, build metrics to monitor campaign health, and evaluate the ads system's performance. Your role focuses on improving the machine learning and bidding system through insights from large datasets and statistical approaches.
As a Senior Applied Scientist in Moloco Commerce Media, you'll analyze large datasets, design optimization strategies, and enhance product features in the ad-tech stack, focusing on bidding systems and ad delivery efficacy.
The Staff Data Scientist is responsible for analyzing real-world data to generate insights and develop machine learning models for Abbott Diabetes Care. The role involves working with large datasets, conducting advanced statistical analyses, and collaborating with various teams to drive product development. The position also includes educating team members and contributing to departmental processes.
As a Senior Data Scientist on Walmart's fraud detection team, you will design and implement predictive models using machine learning and data mining techniques. Collaborating with cross-functional teams, you will address fraud risks in products, create data visualizations, and propose insights to optimize operations.
As a Senior Manager in Data Science, you will lead a team of data scientists and machine learning engineers to create and implement AI models and applications that support Walmart's finance department. Responsibilities include model development, managing a team, and collaborating on cross-functional projects to leverage Walmart's extensive data.
In this role, a PhD Data Scientist will develop advanced analytics solutions focusing on demand forecasting, scenario planning, risk management, and financial forecasting. This position requires collaboration across departments to optimize supply, cost, and pricing strategies for improved business outcomes.
The Machine Learning Engineer will develop and deploy machine learning models to assess business risks using diverse data sources including web data and satellite images. Responsibilities include leading project direction and collaborating with product and software teams to generate insights from large datasets.
The Sr. Risk Management Analyst at Visa focuses on helping clients manage payment risks by analyzing order data to identify fraud trends, developing strategies to mitigate these trends, and working closely with clients to implement solutions. Responsibilities include client communication, consulting on risk strategies, optimizing client acceptance, and delivering automated solutions using analytical tools.
The Senior Machine Learning Engineer will build automated pipelines for AI/ML models, collaborating with data scientists and engineers to deploy solutions. They will lead model deployment, enhance personalization, mentor team members, and conduct experiments to optimize algorithms, while designing reliable distributed systems and maintaining high-performance ETL processes.
The AI Solution Manager oversees customer engagement and leads product and business development efforts in the AI/ML sector within the Central and South American markets. This involves collaborating with partners to identify problems solvable through ML, leading cross-functional teams to develop AI solutions, and facilitating communication between technical and business teams.
The Senior Software Engineer will build systems and tools to enable data scientists in creating machine learning applications, improve frameworks for scalable pipeline development, collaborate with product owners, and mentor junior team members within the C3 AI Platform engineering team.
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