... monitoring/retraining. - AI Risk Assessment : In-depth understanding of risks inherent to LLMs, such as hallucination, biases, and unpredictability. - Applied Machine Learning: Deep knowledge of a broad set of machine learning techniques applied to solve complex business problems, including A/B testing for model performance. ...
... stock-listed Entravision in 2018 (NYSE::EVC). We are a fully transparent platform built with top technology, countless programmatic management features and powerful machine learning algorithms to help advertisers grow their business at scale. We are currently considered one of the top mobile ad-tech companies in the world. As a ...
... Experience in data science roles, with demonstrated expertise in designing and deploying predictive models in production - STACK: Python and/or R programming, SQL, Machine learning techniques (including regression, classification, time-series forecasting, deep learning, retention models, and others), Spark, PySpark, - Knowledge ...
... years of related experience as a Data Scientist, AI expert or Machine Learning engineer; - A solid understanding of relevant statistical, data processing and machine learning methods and their implementation using standard open source frameworks; - Experienced with building production ready machine learning solutions and ...
... estrategia de Ciencia de Datos dentro de una plataforma digital industrial, conectando el conocimiento de procesos del mundo real con técnicas avanzadas de Machine Learning para impulsar la optimización, eficiencia y sostenibilidad de las operaciones. Se trata de una posición de liderazgo con responsabilidad tanto técnica ...
... develop, and deploy robust solutions into production. - Translate business needs into actionable data science solutions. - Explore and apply state‑of‑the‑art machine learning and deep learning approaches. - Communicate results clearly and identify new opportunities to create business impact through data. - Technical Skills: ...
About the role We are looking for a Data Scientist to join an international project focused on developing and improving AI-powered document processing solutions. In this role, you will work with LLMs, Vision-Language Models, OCR, NLP and Machine Learning to transform complex unstructured business documents into structured ...
... Products, Sales, and Service/Operations perspectives, translating data into actionable insights and verifiable reporting, and identifying opportunities where machine learning or automation can add value. - By developing domain expertise in our industry, you engage with Business and Strategy stakeholders to help define KPIs ...
... least one of the following: agentic LLMs and RAG, machine learning for science, program synthesis, NLP, training and fine-tuning LLMs, knowledge graphs, applied machine learning, machine learning for theorem proving, graph machine learning, reinforcement learning, representation learning. - Proven contribution to open source ...
... compañía con oportunidades de crecimiento, donde puedes marcar la diferencia y donde ningún día es igual al https://jobeax.com/link/9QycNZfDgdPYTpY8 un/a Data Scientist con experiencia desarrollando soluciones avanzadas de Inteligencia Artificial y Machine Learning para incorporarse a un equipo innovador y orientado a la generación ...
... analysis of performance metrics, identifying the questions worth answering rather than waiting to be handed them. - Apply sophisticated statistical techniques and machine learning algorithms to analyse historical data, forecast demand, and identify pricing and revenue opportunities. - Conduct in-depth analysis of performance ...
... analysis of performance metrics, identifying the questions worth answering rather than waiting to be handed them. - Apply sophisticated statistical techniques and machine learning algorithms to analyse historical data, forecast demand, and identify pricing and revenue opportunities. - Conduct in-depth analysis of performance ...
... environment. About the role We are seeking a Lead Data Scientist to join the data science and analytics division in Barcelona. This role involves driving advanced machine learning initiatives, leading cross-functional projects, and mentoring junior data scientists. The focus is on solving marketplace challenges such as search ...
We are seeking a Senior Data Scientist to design and implement advanced analytics solutions for a leading aviation-sector organization. This role is responsible for developing industrialized optimisation and machine learning models as part of a fullstack product squad that delivers operations decision‑support software. ...
... the future. To learn more about our solutions and innovations, visit our website https://jobeax.com/link/JCbMvdm8YiVdxS58 PurposeWe are looking for a Data Scientist with experience developing machine learning solutions and analytical models, from experimentation to validated production-ready models. You will work closely ...
... Develop, test, and optimize Machine Learning models for predictive analytics, including regression, classification, and clustering techniques. - Manage and deploy Machine Learning environments and workflows using AWS SageMaker, while leveraging Athena for data querying and analysis. - Integrate Machine Learning models into production ...
... Data Scientist to enhance predictive maintenance in aviation through machine learning solutions. The ideal candidate will develop ML solutions, mentor junior scientists, and collaborate with stakeholders. Candidates should possess strong skills in Python, XGBoost, and machine learning model deployment. The position is based ...
... estrategia del dato, gobierno, integración y arquitectura, abarcando todo el ciclo de vida del dato. RESPONSABILIDADES - Diseñar, entrenar y validar modelos de machine learning y deep learning . - Participar en proyectos de clustering , clasificación , regresión y detección de anomalías . - Aplicar técnicas de NLP para extracción ...
... Develop high-impact data science projects, working closely with other data, engineering, product and business teams. - Design, train, and validate statistical and machine learning models and help deploying them into production. - Participate in the results analysis of real-life experiments, following academy-standard scientific ...