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If you are an experienced Data Scientist with deep knowledge of LLMs and are available for a freelance role, we would be pleased to discuss this opportunity with you. Senior Data Scientist (LLMs) – Freelance (Pharma industry). The Senior Data Scientist will be responsible for:.

Take your career to the next level with Amaris Consulting as a Data Scientist - GenAI.Become part of an international team, thrive in a global group with a turnover of €800 million and over 1,000 clients worldwide, and work in an agile environment planning and monitoring projects.The ideal candid

Bluetab, an IBM Company – ¡Certificados como Great Place to Work y Best Work to Place ! Como una de las mejores compañías para trabajar, somos una compañía techie que se ha posicionado como el brazo fuerte de IBM en Data, Cloud, ML & IA . Trabajamos con empresas clave de diversos sectores para acelerar y optimizar sus estrategias en plataformas de datos y en la nube ️, sacando al máximo las ventajas de su arquitectura y entornos de desarrollo. Nos posicionamos como agnósticos de la tecnología , apostando por la innovación de los grandes hyperscalers ✨. Dentro de nuestra línea estratégica de Augmented Analytics , estamos en busca de apasionados/as de la Analítica Avanzada (IA & ML) para participar en proyectos nacionales e internacionales , donde podrás ponerte a prueba al máximo . Rodearte de la creciente Comunidad de Augmented Analytics al más estilo Bluetab será una experiencia única . ¿Te apasiona la inteligencia artificial, los modelos predictivos y transformar datos en valor real? Si buscas un reto en el que tus algoritmos tengan impacto en proyectos innovadores, ¡ésta es tu oportunidad! Queremos sumar a nuestro equipo un Senior Data Scientist con experiencia consolidada en Machine Learning, AI y MLOps , capaz de diseñar y desplegar modelos de alto rendimiento en entornos Cloud . ¿Cómo será tu día a día? Diseñar y entrenar modelos avanzados de Machine Learning y Deep Learning , asegurando precisión y escalabilidad en producción. Implementar técnicas de procesamiento de datos, NLP, Computer Vision y series temporales , según la naturaleza del proyecto. Construir pipelines de datos eficientes para alimentar modelos con volúmenes masivos de información. Aplicar MLOps para versionado, monitoreo y despliegue automatizado de modelos en entornos Cloud . Colaborar con equipos de ingeniería y negocio para traducir necesidades en soluciones basadas en datos. Trabajar con herramientas de última generación como Databricks, MLflow y Spark para optimizar flujos de datos y modelos. Innovar con técnicas de explainable AI (XAI), feature engineering y optimización de hiperparámetros para mejorar la interpretabilidad y rendimiento de los modelos. ️ ¿Qué necesitas para brillar en este rol? ✅ +4 años de experiencia en Data Science, AI y modelos de Machine Learning aplicados a negocio. ✅ Dominio en Python y librerías como Scikit-Learn, TensorFlow, PyTorch y XGBoost . ✅ Experiencia con SQL y bases de datos relacionales/NoSQL para extracción y manipulación de datos. ✅ Conocimientos sólidos en Cloud Computing (Azure, AWS o GCP) y en plataformas como Databricks . ✅ Habilidad para desarrollar y optimizar pipelines de datos escalables en entornos distribuidos. ✅ Experiencia en MLOps , integración y despliegue de modelos con CI/CD, Docker y Kubernetes . ✅ Pasión por la resolución de problemas complejos, pensamiento analítico y enfoque en la mejora continua. Ahora viene lo bueno por ser bluetaber… ¿Qué ofrecemos? Contrato indefinido y un salario acorde al rol y de mercado competitivo (el salario se relaciona en función de las competencias y conocimientos técnicos detectados en el proceso y rol asignado para el puesto con ese stack tecnológico (Reference Technician), procurando respetar el sentido de equidad con la plantilla y siendo susceptible de mejora tras las evaluaciones continuas de desempeño). La pregunta estrella. ¿Teletrabajo? Sí, Teletrabajo flexible. A tu entera disposición tendrás también la sede de Madrid y/o los Hubs de Alicante, Barcelona, Bilbao y Málaga según ubicación (y con muy buenas conexiones), como centros de pertenencia. Horarios flexibles de entrada/salida, adaptado a tus necesidades personales y jornada intensiva los viernes y los meses de verano, julio y agosto. 23 días de vacaciones . Tarjeta restaurant como beneficio social más allá del salario. Seguro médico & póliza dental con una amplia cobertura también como beneficio social más allá del salario. Disponibilidad además de plan de retribución flexible: Transporte + Guardería. Formación continua gamificada a través del plan rewards, con más de 1000 cursos y certificaciones oficiales. Además, tendrás a tu alcance el programa Career Coach para acompañarte en todo lo relativo a tu desarrollo y crecimiento dentro de Bluetab, con un sistema objetivo de evaluación continua.¡Tú serás el dueño de tu crecimiento! Regalo de cumpleaños. Tarjeta Amazon por importe de 50€ para que sea un día especial. Consideramos que la diversidad es enriquecedora y queremos velar por la inclusión e igualdad de oportunidades, por lo que contamos con un Plan de Igualdad y un Código Ético que recoge estos principios para garantizar la no discriminación de nuestras colaboradoras y colaboradores por cuestión de raza, color, nacionalidad, origen social, edad, sexo, estado civil, orientación sexual, ideología, opiniones políticas, religión o cualquier otra condición personal, física o social. Si te apasiona la tecnología y quieres disfrutar en un entorno innovador y 100% tecnológico, Bluetab, an IBM Company es tu sitio. ¡Te esperamos! #wearehiring #bluetabanibmcompany #bluetaber #boostyourtalent

Eres Data Scientist y buscas trabajo 100% remoto? Esta oferta es para ti.En Quental estamos buscando Científic@s de datos con mentalidad analítica y pasión por la innovación en Machine Learning para sumarse a nuestro equipo, donde el crecimiento personal va de la mano del desarrollo profesio

Join us as a Founding Senior Software Engineer to build the next generation AI analytics platform for helping product, marketing and sales teams make sense of customer feedback at scale! This role is not suitable for you if you have been working mainly on freelancing projects or only in consulting. We require strong experience working on the same product over a long period of time within a product or data platform organization. 1. Who we are 🚢 Taizen is building the next-generation AI analytics platform for customer feedback. We recognize that making sense of qualitative customer feedback from multiple feedback sources is manual and time-consuming for product, marketing and sales teams to get an in-depth view of customer pain points and identify opportunities to drive sales and retention leading to millions of euros in incremental revenue. 👨‍👨‍👧‍👦 The next frontier of knowledge work will be AI-assisted and our mission is to accelerate this transition into an AI-first world by enabling companies create more value for their customers through a deeper understanding of customer needs. 🎯 Taizen equips teams with the super powers to go beyond tracking explicit user actions to gleaning insights from unstructured customer feedback data from multiple feedback sources and customer touchpoints. We do this by simplifying complex data collection and reconciliation from multiple sources to ensure high-quality data at the source, automating AI insight extraction at scale and building agents that "gets your insights job done" on your behalf without needing a data scientist or data analyst. 📈 We’ve processed over 500M user signals to date and serve several data-driven and Enterprise companies. If you’re excited about the potential to redefine what the future of data-driven organizations should look like in an AI-first world, then you just might have found your band! 🎶 We are a VC-backed company built by two founders who spent the last 6 years at Spotify shipping personalized listening experiences to millions of Spotify users globally. 2. About the role We are currently seeking an experienced Senior Software Engineer with a strong Data and Backend background to join our growing team. As a Founding Engineer on the team, you will be responsible for building a scalable backend infrastructure for our data-intensive web app, optimizing storage/database workloads, ensuring high availability for our AI/ML backend services, scaling our integrations with multiple tools for ingesting different data types, and building robust data pipelines for data transformation and processing. You’ll partner closely with Full-Stack Engineers and AI/ML Scientists to ship production systems powered by LLMs and ML models. Key Responsibilities • Build and own scalable backend services for our data-intensive web app and AI/ML model serving, • Make database and storage trade-offs to optimize for the best performance when managing large amounts and varieties of data, including vector stores, • Build robust batch and real time data pipelines that can scale with increased load and data, • Build and maintain data integrations with different data sources and platforms (source and sink), • Design and manage the evolution of flexible data models and database infrastructure to handle different types of data sources and data points, optimizing for fast reads/writes, • Implement and manage a robust workflow orchestration for multiple data jobs, • Setup robust testing practices, monitoring and observability to ensure the reliability of all services and data pipelines, • Stay up-to-date with Software Engineering and Data Engineering Best Practices Minimum Qualifications • Bachelor's or Master's Degree in Computer Science or a related field, • Solid CS fundamentals and distributed systems knowledge is a must-have, • Experience building scalable data pipelines, orchestrating workflows and optimizing pipelines, • Experience working with data warehouse technologies, • Experience working with TypeScript/NodeJS/Python and a strongly typed language, • Very comfortable working across the data and backend, • Comfortable managing cloud infrastructure for backend, ML and data pipelines at scale (DevOps), • Ability to work collaboratively with cross-functional teams including Frontend and Machine Learning Engineers Additional Requirements • Previous experience working with LLMs, • Familiarity with vector databases/stores, • Ability to work across the stack and pick up new tools/technologies, • Strong problem-solving skills and ability to work in a fast-paced environment, • Excellent communication and interpersonal skills 3. Why you definitely want to work with us • 🚀 Asides from being part of an exciting mission and building things from scratch, you’ll be part of a small fun and ambitious team that loves moving fast and trying things out., • 👨‍👨‍👧‍👦 You’ll be doing one of the most impactful works of your career, making people’s lives better through AI., • 🥳 You will work hard, but we will celebrate the small and big wins together., • 🎉 We will organize company offsites a few times a year to work and play together., • 💰 And of course, you will get a competitive salary, significant equity ownership and professional development opportunities!

NTT DATA is the 6th biggest IT Service Company in the world with more than 100.000 professionals and a turnover of more than 15 billion euros. We at NTT DATA Spain make the difference by being close to our clients, exceeding expectations, managing proactively our projects and customers and focusing on quality and selecting employees with the right mindset to make our company grow. The Group has the ambitious goal to position within the TOP 3 worldwide. We have been awarded Best Place to work in Spain for 4 consecutive years. What are we looking for? We are seeking a Senior AI Engineer to join our AI & Analytics team in Spain. This role is ideal for an experienced engineer who is passionate about designing and deploying AI-driven solutions, with a strong foundation in machine learning, generative AI, and cloud computing. You will work with a multidisciplinary team to develop intelligent systems for clients across industries, contributing to end-to-end AI product development, from ideation to deployment and evaluation. We are looking for a professional who brings his knowledge and experience in artificial intelligence focused on: Defining and implementing technical solutions related to AI Platform framework/methodology. Building AI Platforms aligned with the logical version defined in high-level architecture designs. Being a cloud-native, hybrid or on-premises environment. Building CI/CD pipelines to orchestrate the MLOps life cycle aligned with client objectives and architecture requisites. Contribute to the standardization of methodologies for development, training, deploying, inference and monitor of AI use cases. Facing challenges related to MLOps practices, provide resources and tools for Data Scientist, give them flexibility for model development and robust methodology to allow its productivization, train models in an unattended way, monitorize the model performance and generate retrain alarms. What will you be accountable for? Your responsibilities around our artificial intelligence services will be focused on the following fields of action: Design, build, and deploy machine learning and GenAI solutions, including RAG architectures, autonomous agents, and evaluation pipelines. Lead the development of AI-based products and services, ensuring scalability, robustness, and maintainability. Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions. Develop and maintain reusable AI components and best practices for GenAI systems. Integrate models into production environments using cloud platforms such as Azure, AWS, or Google Cloud. Stay current with advancements in AI and proactively propose innovations. Contribute to code reviews, documentation, and mentoring junior team members. Why would we want to meet you? We want to meet you if: Solid understanding of AI foundations, including both classical machine learning and generative AI. Proven experience building GenAI solutions, such as retrieval-augmented generation (RAG), autonomous agents, and evaluation frameworks. Proficient in Python and popular AI libraries (e.g., PyTorch, TensorFlow, LangChain, HuggingFace). Hands-on experience working with cloud platforms (Azure, AWS, or GCP) and deploying AI services in production. Strong software engineering practices (version control, CI/CD, testing, containerization). Must be located in or willing to relocate to Spain. We will positively value: Master’s degree in Computer Science, Engineering, Data Science, or related field. Experience with MLOps tools and practices. Experience in Agile/Scrum environments and collaborating with remote teams. Excellent command of English (C1-C2 level). Background in consulting or client-facing AI delivery projects. What do we offer? We propose: To work on projects for leading companies in Spanish and European market. To be involved in high priority projects with visibility to senior leadership To apply the latest technical innovations in artificial intelligence platforms in AWS. To attend and give conferences. To join the team of a consolidated multinational such as NTT Data, which shares with you its professional interests and enjoys applying artificial intelligence in large companies and public agencies. A competitive salary according to provided experience. A career path that ensures your professional development and continuous improvement (language courses, management and professional skill training, technical training and certifications). If you are interested or would like to have more information, please apply via this advertisement.

Take your career to the next level with Amaris Consulting as a.Become part of an international team, thrive in a global group with a turnover of €800 million and over 1,000 clients worldwide, and work in an agile environment planning and monitoring projects.The ideal candidate has solid experience

If you are an experienced Data Scientist with deep knowledge of LLMs and are available for a freelance role, we would be pleased to discuss this opportunity with you. Senior Data Scientist (LLMs) – Freelance (Pharma industry). The Senior Data Scientist will be responsible for:.

Role Overview The Senior Data Scientist will be responsible for: Developing, fine-tuning, and deploying LLM-based solutions Working hands-on with Python and ML frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers Designing experiments and evaluation frameworks for generative AI s

Data Science, AI y modelos de Machine Learning aplicados a negocio.

Take your career to the next level with Amaris Consulting as a.Become part of an international team, thrive in a global group with a turnover of €800 million and over 1,000 clients worldwide, and work in an agile environment planning and monitoring projects.The ideal candidate has solid experience