Ofertas de empleo para machine-learning

• Nivel de experiencia---
• Tipo de contratoTemporal
• Publicada4 mar.

Teletrabajo . Python TSQL SaaS Machine Learning Office

Mission

If You Have a Passion For Data And Technology And Want To Join a Crew Of Sharp Analytical Minds, This May Be The Right Opportunity. As An Intern, You Will Get a Chance To Take Part In The Typical Tasks Our Data Scientists Do Daily

• Translate business needs into technical requirements
• Design, develop, and implement statistically grounded methodologies to address business needs
• Debug and problem-solve issues to ensure the delivery of accurate metrics
• Create and document reusable packages and libraries
• Dive into technical problems and figure out solutions that make our product meaningful
  
  

• Currently studying or recently graduated in Mathematics, Statistics, Data Science, Physics, or related fields
• Knowledge of Python and SQL
• Highly motivated, dynamic, and detail-oriented
• Strong multi-tasking skills and ability to work in a fast-paced environment
• Strong interpersonal and communication skills, both verbal and written
• Advanced level of English
• Open to part-time or full-time work
• Must have legal authorization to work in Spain (we cannot provide visa sponsorship)
  
  

• Minimum duration: 3 months, with the possibility to extend up to 6 months
• Start date: flexible – you can join at any time
• Working hours: part-time or full-time
• Location: Barcelona or Madrid
• Work model: Hybrid, coming to the office 2–3 times per week. depending on the team
• Advanced level of English
  
  

• Internationally diverse team with over 30 nationalities
• Focus on high-quality, impactful software development
• Competitive internship compensation
• Open feedback culture to foster continuous improvement
• Flexible remote work and time management within projects
• Access to the latest technologies, innovation, and trial-and-error learning
• Opportunities for further training and professional growth
• Fun team activities and off-sites
  
  

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada4 mar.

. Machine Learning

📢 ¿Te apasiona la sostenibilidad y la Inteligencia Artificial? 🍷🌱

💡Buscamos a un estudiante predoctoral para mejorar la industria del vino a través de la economía circular. El objetivo es liderar la revalorización de residuos mediante el uso de herramientas de simulación avanzada, modelado de procesos y Machine Learning. No solo harás ciencia de datos; participarás en el diseño real de una biorrefinería en colaboración con universidades y centros de investigación internacionales (Proyecto POCTEP).🔬🌍

✅ Es una oportunidad con incorporación inmediata y contrato a jornada completa. Buscamos a alguien que se mueva con soltura en inglés (fundamental para el impacto internacional del proyecto), y valoraremos positivamente que también te defiendas bien en español para el día a día con el equipo.🤝✨

▶️ Mándanos tu CV a este correo: [email protected]

📢 PhD Opportunity: Wine Industry Waste Valorization & Process Modeling 🍷🌱

💡We are looking for a motivated PhD candidate to join a cutting-edge research project focused on the circular economy within the wine industry. You will work on process modeling and optimization, utilizing simulation tools and Machine Learning to enhance strategic decision-making and develop sustainable pathways for waste valorization. You will not just be doing data science; you will play a key role in the actual design of a biorefinery, collaborating with international universities and research centers (POCTEP Project).🔬🌍

✅ This is a full-time position with an immediate start date. Advanced English is required for high-impact research and international collaboration; fluency in Spanish is not mandatory but will be highly valued for day-to-day team integration and local project management.🤝✨

▶️ Send your CV to this email address: [email protected]

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada4 mar.

Machine Learning

Job Description:

As an AI Solution Architect at Airbus Defence and Space, you will be at the forefront of shaping our AI-driven future. You will balance cutting-edge artificial intelligence opportunities with business process requirements and ethical considerations, planning, designing, and integrating AI system components such as machine learning models or natural language processing systems. Your role will be pivotal in integrating the latest AI components and technology within the global architecture design, aligning technical requirements, principles, and models with our Enterprise Architecture guidelines.

You will provide the necessary leadership, analysis and design tasks related to the development of the AI enterprise´s solutions architecture incl. systems (not just applications, but also processes and information), shared infrastructure services, and shared application services and components to better match targeted business outcome objectives. Your role will be to bridge the gap between existing components/systems of the IT/IM landscape and the AI solutions including Agentic AI, MCPs, A2A protocols, etc.

You will collaborate closely with Data Scientists, AI Engineers, Developers and other Technology Specialists to ensure the seamless integration of AI solutions across applications, systems, and platforms. Your work will drive business objectives, enhance decision-making processes, and foster responsible AI practices, ensuring transparency, fairness, and accountability in all AI-driven initiatives.

Your Responsibilities:
- AI solution architecture design incl. non-functional requirements (i.e. not linked to any business process). Perform the technical and functional design of AI and infrastructure components for new solutions, adhering to defined functional and ethical design principles.
- Contribute to Architecture Requirement Dossiers by creating Spec/Design, Operation, and Installation Dossiers
- Create consistent solution architecture across all architecture layers
- Solution adherence to domain target architecture, architecture principles, guidelines and corporate technology standards
- Technology assessment: Assist in the development of prototypes providing recommendations on technology to use including DevOps/MLOps and LLMs
- Reporting of deviations
- Visionary Leadership: Proactively assist in defining the direction for future AI-driven products and services, validating AI product designs.
- Collaborative Innovation: Work with other Architects, Data Scientists, Data Engineers, and developers to deliver high-quality, innovative AI solutions using cutting-edge technologies and best practices.
- Architectural Guidance: Define solution patterns and architectural frameworks to guide AI solution decisions, ensuring scalability, maintainability, and responsible AI practices.
- Full Lifecycle Participation: Engage in all phases of the AI development life cycle, from research and design to development, testing, implementation, and support.
- Strategic Alignment: Align AI architecture strategy with the organization´s business goals and long-term strategic planning, ensuring that AI initiatives drive value and competitive advantage.
- Business Process Improvement: Provide expertise on business processes, change management transformation, function improvement, and technology enablement for AI-driven business process reengineering.
- Continuous Learning: Stay current with the latest AI advancements, trends, and tools, continuously evaluating their potential impact and value to the organization, and fostering a culture of innovation and responsible AI adoption.
- Ethical AI: Ensure that AI solutions are transparent, explainable, and fair, addressing potential biases and promoting trust in AI-driven decision-making processes.
- Data Management: Work closely with data governance and data management teams to ensure the quality, availability, and security of data used in AI solutions.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company´s success, reputation and sustainable growth.

Company:
Airbus Defence and Space SAU

Employment Type:
Permanent

Experience Level:
Professional

Job Family:
Digital

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada4 mar.

Python Docker Cloud Coumputing Git AWS Machine Learning

We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there´s no limit to what we can achieve

Are you a fit?
Sounds awesome, right? Now, let´s make sure you´re a good fit for the role:

Must-have Skills:
- Strong fundamentals in Software Engineering, with the ability to build secure, scalable, production-grade systems.
- 4+ years of experience in Machine Learning Engineering or Data Engineering roles.
- Strong programming skills in Python (or another ML-focused high-level language).
- Experience designing and deploying Large Language Model (LLM)-powered applications in production environments.
- Hands-on experience architecting multi-agent systems, including tool-calling and long-term memory strategies to solve complex, non-linear problems.
- Experience implementing automated evaluation pipelines (e.g., LLM-as-a-judge).
- Familiarity with optimized vector storage and indexing systems for NLP applications.
- Experience building and maintaining high-volume data processing pipelines (structured and unstructured data).
- Familiarity with cloud infrastructure (AWS and/or GCP), Docker, and Git.
- Experience integrating internal and third-party AI APIs in a reliable and secure manner.
- Hands-on experience with the LangChain ecosystem (e.g., LangGraph, LangSmith) for prompt management, evaluation, and agent orchestration.
- Strong collaboration skills to work cross-functionally with data scientists, ML engineers, and product teams.
- Clear and effective communication skills.
- Bachelor´s or Master´s degree in Computer Science, Engineering, Data Science, or related STEM field (or equivalent practical experience).

What we offer:
- A High-Impact Environment
- Commitment to Professional Development
- Flexible and Collaborative Culture
- Global Opportunities
- Vibrant Community
- Total Rewards

*Specific benefits are determined by the employment type and location.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada3 mar.

Teletrabajo . Python TSQL R Machine Learning

💚Softtek es un socio global de ingeniería de software que impulsa el progreso de las compañías. Desde hace más de 40 años, hemos ayudado a nuestros clientes a desarrollar, implementar y gestionar tecnología que mejora la vida de las personas.

Con presencia en más de 20 países y más de 16,000 softtekians en todo el mundo, en Softtek estamos en constante crecimiento. En España, te ofrecemos la oportunidad de unirte a nuestra comunidad en ubicaciones como Albacete, Asturias, Ávila, Barcelona, Córdoba, Coruña, Madrid, Narón, Segovia o Zaragoza, donde podrás desarrollar tu carrera dentro de un modelo híbrido y flexible.

En 2025, hemos sido reconocidos en la Lista Forbes como una de las 100 mejores empresas para trabajar en España, destacando por nuestra flexibilidad y personalización en la experiencia del empleado. Creemos en el poder de las habilidades diversas y la la iniciativa personal para lograr cosas asombrosas, y valoramos el talento único de cada persona para contribuir al crecimiento y diversidad de nuestro equipo. ¿Nos acompañas en esta aventura? #FutureTogether

🔎¿Qué buscamos?

Buscamos un Data Scientist con Python y R que cumpla con los siguientes requisitos:

• 3-5 años de experiencia en Data Science o Machine Learning Aplicado.

• Fuerte conocimiento de Python y SQL.

• Experiencia en la construcción y despliegue de modelos de machine learning.

• Experiencia práctica con Generative AI, incluyendo:

• Embeddings

• Búsqueda vectorial

• Arquitecturas estilo RAG

• Modelos NLP o transformadores

• Familiaridad con la evaluación de modelos más allá de la precisión (ranking, relevancia, calidad de recuperación, etc.)

💻 ¿Cómo será tu día a día?

• Trabajarás estrechamente con Product Owners, Data Analysts, Data Engineers y ML Engineers para diseñar, construir, desplegar y monitorear productos escalables de AI y Generative AI.

• Jugarás un papel clave en la adopción de Generative AI en todo el negocio, construyendo soluciones basadas en LLMs, embeddings y RAG para resolver problemas reales de usuarios y operativos.

• Interactuarás directamente con los stakeholders del negocio para entender sus necesidades y traducirlas en sistemas de AI que sean precisos, confiables y prácticos en producción.

• Monitorearás y mejorar el rendimiento de modelos y sistemas, aplicar las mejores prácticas en Data Science, MLOps y LLMOps, y refinar continuamente modelos y prompts para maximizar el impacto en el negocio.

• Mantenerse al día con las mejores prácticas de LLM, RAG y GenAI, utilizando nuevas técnicas y tecnologías para impulsar la innovación y la eficiencia.

✅Conoce nuestra propuesta de valor

📝Contrato indefinido.

💻Modelo híbrido: Súmate a nuestro modelo Softtek 56, que se adapta a las circunstancias de cada Softtekian y en donde podrás conectar y desarrollarte con nuestros equipos en las diferentes sedes 56 horas al mes y disfruta de teletrabajo el resto del tiempo.

👪 Conciliación: Horario flexible y el programa BetterWork que apoya el equilibrio entre tu vida personal y profesional.

✈️24 días de vacaciones.

🩺 Seguro médico.

💳Retribución flexible: tarjeta transporte, tarjeta restaurante, cheque guardería o seguro médico familiares.

🎂 Tarde de cumpleaños libre (también por el cumple de tus hijos).

🎁 Club del empleado: Beneficios y promociones exclusivas por ser Softtekian.

🎓Planes de formación: idiomas, tecnologías y habilidades interpersonales.

🌍 Oportunidad de movilidad interna: en nuestras sedes internacionales y dentro de España.

🔝 Valoraremos especialmente la candidatura de personas que posean habilidades y capacidades únicas y diversas, reconociendo la importancia de facilitar su integración plena en el mercado laboral. Cada individuo, con sus capacidades singulares, aporta una riqueza invaluable a nuestra comunidad, y nuestro compromiso es asegurar que todos tengan la oportunidad de demostrar su valía y contribuir al crecimiento y la diversidad de nuestro equipo.

👀 ¡Estamos deseando conocerte!

• Nivel de experiencia---
• Tipo de contratoConsultor
• Publicada3 mar.

Teletrabajo . Python Machine Learning

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About The Role

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you'll have the opportunity to collaborate on these projects.

Although every project is unique, you might typically:

• Design original computational STEM problems that simulate real scientific workflows
• Create problems that require Python programming to solve
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
• Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
• Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)
• Document problem statements clearly and provide verified correct answers
  
  

• You hold a Master's or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field
• You have at least 5 years of Machine Learning experience with proven business impact
• Strong programming skills in Python (numpy, pandas, scipy, sklearn)
• Solid understanding of numerical methods and computational algorithms
• Research or industry experience involving computational problem-solving
• Your level of English is advanced (C1) or above
• You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines
• Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge
  
  

• Get paid for your expertise, with rates that can go up to $34/hour depending on your skills, experience, and project needs
• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments
• Work on advanced AI projects and gain valuable experience that enhances your portfolio
• Influence how future AI models understand and communicate in your field of expertise

• Nivel de experiencia---
• Tipo de contratoPor días
• Publicada3 mar.

Teletrabajo Python Azure Cloud Coumputing Spark Big Data Machine Learning

En HAYS estamos colaborando con una compañía líder en el sector tecnológico que busca reforzar su equipo de analítica avanzada y machine learning.
Buscamos un Data Scientist (1-3 años de experiencia) para trabajar con datos masivos, modelos de IA y entornos cloud de última generación.

Requisitos
- Sólido nivel de Python orientado a análisis de datos y desarrollo de modelos.
- Experiencia con Apache Spark / PySpark y Databricks (idealmente en Azure).
- Conocimientos de Machine Learning y Deep Learning (redes neuronales).
- Buen nivel en matemáticas y estadística aplicada.

- Experiencia en:
- Análisis exploratorio (EDA) y limpieza de datos.
- Feature engineering.
- Entrenamiento, validación y evaluación de modelos.
- Visualización de métricas y resultados.

- Valorable:
- Certificaciones ML (AWS/Azure).
- Conocimientos de Knitro.

¿Qué harás?
- Trabajar con grandes volúmenes de datos en entornos distribuidos.
- Construir y validar modelos de Machine Learning y deep learning.
- Realizar ingeniería de características y preparar datasets complejos.
- Utilizar PySpark y Azure Databricks en proyectos reales.
- Presentar insights y resultados a equipos técnicos y de negocio.
- Colaborar en un entorno cloud moderno y altamente escalable.

¿Qué ofrecemos?
- Contrato indefinido
- 100% remoto desde España
- Trabajo con tecnología punta (Spark, Databricks, ML, Cloud)
- Entorno técnico, joven y en crecimiento

Si buscas un rol donde crecer como Data Scientist trabajando con Big Data, ML y cloud, este proyecto es para ti.
Apúntate y da el siguiente paso en tu carrera como Data Scientist.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada3 mar.

Teletrabajo Python TSQL Azure Cloud Coumputing Scala R Big Data Machine Learning

• Multinational Company-Automotive Sector
• GenIA, Azure, AI, RAG, MLOps, LLM's

¿Dónde vas a trabajar?

Multinational Company-Automotive Sector (Final Company)

Descripción

The Data Scientist / MLOPs Engineer will be responsible for the support the Strategy & Transformation`s Department in analyse, understand and draw conclusions of the data obtained by our Corporate and Business Units. Identifying methods for analysis, develops and performs data analysis.

Main responsibilities:

• Analyze, understand and draw conclusions from the corporate Data Lake and external databases
• Understand and prepare the data to carry out the models involved in our solutions.
• Design / Develop / Manage and Monitor of applications based on advanced analytics and Machine Learning using the BigData ecosystem, actively participating in the design and analysis of algorithms to solve specific company problems.
• Algorithm automation, CI/CD of developed algorithms in production environment.
• e, measurement and graphical visualization of performance to enable validations of strategies.
• Evaluate software frameworks, libraries and tools (including prototyping).

¿A quién buscamos (H/M/D)?

The Data Scientist / MLOPs Engineer will have the following experience and qualifications:

• At least 3 years of professional experience as a Data Scientist. Working with SQL and scripting languages such as R, Python and Scala
• In-depth understanding of machine learning models, their mathematical foundations and practical experience with their development.
• Strong knowledge of cloud technologies, especially Microsoft Azure Cloud
• Desirable experience in Generative AI and CHATGPT prompts ideation and implementation
• Ability to build ML models.
• English: Advanced.
• Good understanding of Commercial processes, especially in digital and/or in the automotive sector and experience with analytics in this area will be desirable.
• Analytical thinking and ability to independently steer complex products.
• Excellent team-player and problem-solving skills

¿Cuáles son tus beneficios?

Interesting professional oppportunity

Hybrid model

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada3 mar.

React Python Azure Angular Docker Cloud Coumputing REST AWS DevOps Machine Learning

Funciones

- Diseñar e implementar soluciones de IA Generativa (LLMs, RAG, agentes) y Machine Learning tradicional.
- Integrar herramientas de IA en sistemas empresariales existentes.
- Desarrollar pipelines full-stack con Angular/React y APIs REST (FastAPI).
- Gestionar infraestructuras en la nube (Docker, AKS) y procesos DevOps/CI-CD.
- Supervisar el despliegue y mantenimiento de modelos en producción.
- Realizar investigación continua en tecnologías emergentes.

Requisitos

- Será primordial contar con experiencia en Node y React, y en toma de requisitos y comunicación con el cliente.
- Experiencia en proyectos con inteligencia artificial, machine learning, deep learning y modelos generativos.
- Conocimiento y experiencia en el despliegue de soluciones de IA en entornos Cloud (AWS, GCP, Azure u otros).
- Dominio de Python y familiaridad con frameworks orientados a IA conversacional, como LangChain o similares.
- Valorables conocimientos de: Docker, Azure DevOps, Azure AI, Angular, React.js

Modelo híbrido de trabajo (1 día a la semana presencial) en Barcelona Centro.

Se ofrece

En AUBAY seleccionamos un/a Desarrollador/a de Inteligencia Artificial (IA) para Barcelona.

Ofrecemos la posibilidad de formar parte de una Compañía en continuo crecimiento, participando en innovadores proyectos que te permitirán completar tu formación y potenciar tus capacidades. Valoramos el compromiso y la dedicación en el trabajo realizado.

En Aubay somos una multinacional de servicios digitales (DSC) fundada en 1998. Actualmente, con un fuerte crecimiento. Operamos en mercados con un alto valor agregado, tanto en Francia como en otras partes de Europa. En Aubay actualmente tenemos 5 000 personas trabajando.

Desde el asesoramiento hasta todo tipo de proyectos tecnológicos, acompañamos la transformación y modernización de los sistemas de información en todos los sectores, incluidos la industria, I + D, telecomunicaciones e infraestructura, y especialmente los principales bancos y compañías de seguros, que representan más del 80% de nuestra facturación francesa y el 65% de nuestra facturación europea.

Únete a nosotros, te esperamos!