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Top Machine Learning Jobs in Madrid
As a Senior ML Engineer, you will lead the development of the company's computer vision capabilities, managing data labeling, building ML training pipelines, and ensuring models are deployed and maintained effectively to support key client features.
As a Senior Data Scientist at Fever, you'll leverage your expertise in statistics and machine learning to enhance data-driven decision-making processes. You will work closely with business and engineering teams to develop analytical solutions and improve user experiences. You will also lead projects, mentor team members, and play a significant role in shaping the data science strategy of the organization.
The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.
The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.
The Data & AI Project Manager at Fever will lead data-driven projects from conception to completion, ensuring alignment with organizational goals. Responsibilities include strategic planning, stakeholder communication, and overseeing project execution with cross-functional teams, focusing on enhancing the user experience and operational efficiency.
The Staff Machine Learning Engineer will lead the design and development of Generative AI solutions for Firefox, focusing on training and integrating AI models, as well as optimizing their performance. This role also involves collaborating with cross-functional teams and ensuring the reliability of the models through robust validation procedures.
As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.
As an Engineering Manager, you will work as a Senior Software Engineer and manage a group of engineers, developing AI-powered architecture design products while fostering team growth. You will engage in technical work, collaborate as part of product teams, and help build a solution-focused culture within the organization.
As a Senior ML Platform Engineer, you'll enhance the ML platform to support research teams, managing cloud infrastructure and tooling for data collection and model training. You will ensure seamless operations for researchers by maintaining and improving the infrastructure for GPU clusters in a cloud environment.
The Senior IA/ML Engineer will join a multidisciplinary AI/ML team to develop production-ready machine learning solutions. Responsibilities include building AI solutions, MLOps deployment, data analysis, and training ML models. Collaboration in an Agile environment is essential to address software engineering and AI challenges.
As a Machine Learning Engineer at Autodesk, you will develop ML-powered product features, collaborate on cutting-edge research projects, construct ML pipelines, process data, and analyze errors for solutions. You will work closely with researchers and engineers to document methods and results effectively.
The Senior Machine Learning Engineer will lead the design and implementation of advanced machine learning models focusing on NLP and LLM technologies. Responsibilities include developing efficient data processing pipelines, performing large-scale data analysis, and collaborating with teams to optimize workflows in the education and research sector.
As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.
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