Ofertas de empleo para machine-learning

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Python TSQL Azure Git AWS Machine Learning

Buscamos Data Scientist altamente motivado/a para unirse a nuestro equipo. Será responsable de analizar y pre procesar datos, desarrollar modelos de Machine Learning (ML), y colaborar en la creación de soluciones innovadoras. Utilizará herramientas como Python (Pandas, Scikit-learn) y plataformas en la nube como AWS.

📍Ubicación: Barcelona (2 días remoto| presencial de 3 días en Viladencas)

Requisitos:

✅Grado o Máster en Data Science, Ciencias de la Computación, Matemáticas o un campo relacionado.

✅ Mínimo 2 años de experiencia profesional en ciencia de datos o análisis.

✅ Nivel de inglés B2.

✅ Dominio de Python y bibliotecas comunes de ciencia de datos.

✅ Sólidos conocimientos en manipulación de datos, análisis estadístico básico y fundamentos de ML.

✅ Buenas habilidades de comunicación y trabajo en equipo.

Habilidades Deseables:

✨Experiencia con técnicas de optimización metaheurística (por ejemplo, Algoritmos Genéticos, Optimización por Enjambre de Partículas).

✨ Conocimiento en tareas de Procesamiento de Lenguaje Natural (NLP) como clasificación de texto o embeddings.

✨ Familiaridad con bibliotecas de visualización de datos (Matplotlib, Seaborn, Plotly).

✨ Conocimientos básicos de SQL y procesos ETL.

✨ Experiencia con herramientas de control de versiones como Git.

✨ Experiencia con plataformas en la nube como AWS o Azure.

Ofrecemos:

🚀 Formar parte de un equipo dinámico altamente cualificado en una empresa en proceso de expansión.

🚀 Participar en proyectos innovadores y punteros para grandes clientes de primer nivel en distintos sectores de mercado.

🚀 Proyectos de larga duración, estabilidad profesional y progresión laboral.

🚀 Contratación Indefinida.

🚀Acceso gratuito al catálogo de formación anual de Cas Training.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Machine Learning

Outlier helps the world’s most innovative companies improve their AI models by providing human feedback. Are you interested in assisting researchers in training the next generation of audio machine-learning models? This research aims to improve the models' understanding of human speech and requests and make them more friendly and compassionate.

Requirements

• Native fluency in Spanish
• Ability to express a wide range of emotions through voice
• Ability to record in a quiet environment without background noise
• Access to an at home recording studio
• Experience with any voice-related work (e.g., voiceover acting, podcasting, audio narration)
• Access to a high-fidelity microphone for recordings
  
  

• Background in on-screen or on-stage acting, classical voice training, or vocal music
• Access to an audio interface device
  
  

• Record short conversations that convey different emotions, accents, and audio modulations
• Review and provide feedback on recordings made by other users
• Review and edit scripts
• Ensure high-quality audio by maintaining clear, professional recordings
• Save files to Audacity and maintain organized file management
• You can view responses to frequently asked questions here - FAQ Document
  
  

• Currently, pay rates for core project work for voice recording are up to $40 USD per hour.
  
  

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Agile Cloud Coumputing IoT Machine Learning

NexGen Cloud is a growing IaaS company revolutionizing cloud infrastructure with cutting-edge GPU solutions. We power the next wave of innovation across AI & Machine Learning, VFX & Rendering, Data Science, IoT and High-Performance Computing, enabling businesses to push boundaries faster and smarter.

We are dedicated to simplify the complexities of the digital world, delivering scalable, secure and cost-effective cloud solutions that drive real impact.

At our core, we’re a team of visionary, driven and highly skilled professionals, passionate about shaping the future of cloud technology and making a lasting mark on the industry.

The Role:

As a Talent Acquisition Specialist, you will take ownership of the full recruitment cycle, ensuring we hire the right talent to support our business growth. While this will be your primary focus, as your role evolves, you will also contribute to employer branding, internal communications and shaping our company culture.

Key Responsibilities:

• Full-Cycle Recruiting: Manage the entire hiring process, from sourcing to offer acceptance, ensuring a seamless and positive candidate experience.
• Strategic Sourcing: Use LinkedIn Recruiter, Boolean searches, referrals, talent pools and creative sourcing strategies to proactively identify top talent.
• Talent Partnering: Work closely with hiring managers to deeply understand team needs, define role requirements and drive strategic hiring decisions.
• Onboarding: Ensure a smooth and engaging onboarding experience, helping new hires integrate seamlessly and become productive quickly.
• Data-Driven Hiring: Track, analyze and leverage hiring data to refine our recruitment strategy, optimize processes, and improve time-to-hire.
• Process Improvement: Identify opportunities to streamline and scale our hiring operations, ensuring we stay agile as we grow.
• Stakeholder Management: Guide, coach and train hiring managers on interview techniques, best practices and market trends to improve hiring outcomes.
• ATS & Tools Management: Own and optimize our Applicant Tracking System (ATS) to maintain an efficient and structured hiring process.
• Talent Pipelining: Build and maintain long-term relationships with passive candidates, keeping a robust pipeline ready for future needs.
• Market Insights: Stay ahead of industry trends, salary benchmarks, and competitor hiring strategies to help us remain competitive in attracting top talent.
• Employer Branding & Talent Attraction: Develop and execute strategies to position NexGen Cloud as an employer of choice, including job descriptions, social media campaigns, recruitment events or employee success stories among others.

What You Bring:

• Proven track record of Talent Acquisition experience in a high-growth tech startup or fast-paced environment.
• Strong experience hiring across Technical, Sales and Business roles, with a direct sourcing mindset.
• Deep knowledge of recruiting tools like LinkedIn Recruiter, ATS platforms, and sourcing extensions—you know how to find top talent!
• Exceptional stakeholder management skills—you influence, advise, and collaborate effectively with hiring managers.
• A passion for candidate experience and employer branding, ensuring we stand out in a competitive market.
• Ability to juggle multiple roles simultaneously, prioritizing efficiently in a fast-moving environment.
• A data-driven approach, using analytics to inform decision-making and continuously improve hiring strategies.
• A proactive, creative, and problem-solving mindset—you find solutions, not roadblocks.
• Resilience & Adaptability—you thrive in a fast-changing environment, staying focused, flexible and positive under pressure.

Why Join Us?

• Impact: You’ll play a crucial role in shaping our team and culture, influencing the future of NexGen Cloud.
• Growth: Join a company that’s scaling, where your contributions directly drive success.
• Autonomy & Ownership: We trust you to take charge, experiment, and drive recruitment strategies forward.
• Collaborative Culture: Work alongside talented, ambitious and mission-driven colleagues in a dynamic environment.
• Career Progression: As we grow, so do you—opportunities for additional responsibilities and leadership are on the horiz

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Machine Learning

Outlier helps the world’s most innovative companies improve their AI models by providing human feedback. Are you interested in assisting researchers in training the next generation of audio machine-learning models? This research aims to improve the models' understanding of human speech and requests and make them more friendly and compassionate.

Requirements

• Native fluency in Spanish
• Ability to express a wide range of emotions through voice
• Ability to record in a quiet environment without background noise
• Access to an at home recording studio
• Experience with any voice-related work (e.g., voiceover acting, podcasting, audio narration)
• Access to a high-fidelity microphone for recordings
  
  

• Background in on-screen or on-stage acting, classical voice training, or vocal music
• Access to an audio interface device
  
  

• Record short conversations that convey different emotions, accents, and audio modulations
• Review and provide feedback on recordings made by other users
• Review and edit scripts
• Ensure high-quality audio by maintaining clear, professional recordings
• Save files to Audacity and maintain organized file management
• You can view responses to frequently asked questions here - FAQ Document
  
  

• Currently, pay rates for core project work for voice recording are up to $40 USD per hour.
  
  

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada29 abr.

Administración de oficinas Facturacion Asistencia de administración Recursos humanos (RR. HH.) Programas de ofimática Hojas de cálculo Aptitudes administrativas Equipo de oficina Coordinación de reuniones Python Azure AWS R Machine Learning Power BI Tableau

✨ Puesto Vacante: Científico/a de Datos ✨

Si te apasiona convertir datos complejos en información accionable que impulse decisiones estratégicas y nuevas oportunidades, ¡este es tu momento! 🌟

🔍 Responsabilidades principales:

• Diseñar e implementar soluciones de ciencia de datos de extremo a extremo.
• Crear modelos predictivos, algoritmos de machine learning e inteligencia artificial.
• Transformar datos en bruto en análisis significativos.
• Desarrollar visualizaciones y paneles interactivos para comunicar hallazgos.
• Integrar soluciones en producción junto con equipos de ingeniería y arquitectura.
• Colaborar con clientes para ofrecer estrategias analíticas personalizadas.
• Investigar y aplicar técnicas avanzadas de ciencia de datos adaptadas a cada caso.
• Optimizar modelos en producción para garantizar rendimiento constante.
• Mentorizar talento junior y contribuir al crecimiento interno del equipo.

📋 Requisitos imprescindibles:

• Máster o Doctorado en Ciencia de Datos, Informática, Estadística o campos similares.
• Más de 3 años de experiencia profesional en ciencia de datos o aprendizaje automático.
• Dominio de Python o R y frameworks como TensorFlow o scikit-learn.
• Familiaridad con herramientas de visualización como Tableau o Power BI.
• Experiencia trabajando con grandes volúmenes de datos en entornos empresariales.

🌟 Habilidades deseadas:

• Experiencia con plataformas en la nube como AWS SageMaker o Azure ML.
• Conocimientos de MLOps y despliegue de modelos en producción.
• Dominio del inglés y español.

Consulta el perfil completo en nuestra web talemtia.com

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada29 abr.

Agile Machine Learning

🔵 En CAPITOLE, ¡seguimos creciendo y queremos hacerlo contigo!

Buscamos un/a Product Manager con al menos 5 años de experiencia en gestión de productos, idealmente en entornos de IA, machine learning o ciencia de datos para unirse a un proyecto internacional de gran impacto. La posición es híbrida, tres veces por semana a oficina en los alrededores de Barcelona.

💻 ¿Qué perfil estamos buscando?

• 5+ años de experiencia como Product Manager o similar, con foco en productos de IA, machine learning o ciencia de datos.
• Conocimiento sólido de metodologías ágiles y experiencia en la gestión de backlog y el roadmap.
• Experiencia liderando equipos técnicos y coordinando con stakeholders internacionales.
• Se requiere un alto nivel de inglés, ya que trabajarás con equipos internacionales.

🥳 ¿Por qué CAPITOLE?

• Presupuesto de formación de €1,200 para que lo gastes en lo que desees (eventos de tecnología, libros, cursos, certificaciones, ¡lo que quieras!). 📚
• Reuniones mensuales con tu equipo para asegurar una retroalimentación continua. 🔄
• Seguro médico privado cubierto en su totalidad por Capitole. 🏥
• Compensación flexible (vales de restaurante, transporte y/o guardería). 🍽️🚇
• Acceso a Wellhub (Gympass). 🏋️♀️
• Descuentos exclusivos en marcas top (Club Capitole). 🛍️

¿Aún no nos conoces? ¡Descúbrenos! 👀

¡No dudes en enviarnos tu perfil; estamos ansiosos por conocerte!

#CAPITOLECONSULTING

El empleado/a se adherirá a las políticas de seguridad de la información:

- Tendrá acceso a la información confidencial relativa a Capitole y al proyecto en el que trabaja.

- Tendrá que cumplir las políticas de seguridad y las políticas internas de la empresa y cliente.

- Tendrá que firmar un NDA.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada29 abr.

Machine Learning

Outlier helps the world’s most innovative companies improve their AI models by providing human feedback. Are you interested in assisting researchers in training the next generation of audio machine-learning models? This research aims to improve the models' understanding of human speech and requests and make them more friendly and compassionate.

Requirements

• Native fluency in Spanish
• Ability to express a wide range of emotions through voice
• Ability to record in a quiet environment without background noise
• Access to an at home recording studio
• Experience with any voice-related work (e.g., voiceover acting, podcasting, audio narration)
• Access to a high-fidelity microphone for recordings
  
  

• Background in on-screen or on-stage acting, classical voice training, or vocal music
• Access to an audio interface device
  
  

• Record short conversations that convey different emotions, accents, and audio modulations
• Review and provide feedback on recordings made by other users
• Review and edit scripts
• Ensure high-quality audio by maintaining clear, professional recordings
• Save files to Audacity and maintain organized file management
• You can view responses to frequently asked questions here - FAQ Document
  
  

• Currently, pay rates for core project work for voice recording are up to $40 USD per hour.
  
  

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada29 abr.

Teletrabajo Java Cloud Coumputing AWS Machine Learning

Get AI-powered advice on this job and more exclusive features.Consultant at Oliver Bernard | Specialise in Data & Backend EngineeringLocation: Remote (must be in Spain)Must have a degree in Computer Science.The client:Our client specialises in facilitating cross-border payment solutions, helping global businesses process transactions in emerging markets.

They provide a seamless way for companies to accept local payment methods and make payouts without needing a local presence.What Makes a Great Candidate:Theoretical understanding of Machine Learning fundamentals and knowledge on how to build real world ML systems.Experience leveraging LLMs in production.Knowledge of programming languages such as Java / Python.Exposure to cloud technologies such as AWS or Azure.Ability to own aspects of an AI project.A degree in Computer Science or a related field, ideally from a top global university.If you are a passionate engineer who enjoys solving challenging problems in a fast-paced environment, then this could be a great fit.

Join the team in Spain to make a difference today.If this is of interest, please apply or reach out to ****** level:Mid-Senior levelEmployment type:Full-timeJob function:Finance and Information TechnologyIndustries:Data Infrastructure and Analytics, Software Development, and Financial Services

#J-18808-Ljbffr

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada29 abr.

Teletrabajo Java Cloud Coumputing AWS Machine Learning

Get AI-powered advice on this job and more exclusive features.Consultant at Oliver Bernard | Specialise in Data & Backend EngineeringLocation: Remote (must be in Spain)Must have a degree in Computer Science.The client:Our client specialises in facilitating cross-border payment solutions, helping global businesses process transactions in emerging markets.

They provide a seamless way for companies to accept local payment methods and make payouts without needing a local presence.What Makes a Great Candidate:Theoretical understanding of Machine Learning fundamentals and knowledge on how to build real world ML systems.Experience leveraging LLMs in production.Knowledge of programming languages such as Java / Python.Exposure to cloud technologies such as AWS or Azure.Ability to own aspects of an AI project.A degree in Computer Science or a related field, ideally from a top global university.If you are a passionate engineer who enjoys solving challenging problems in a fast-paced environment, then this could be a great fit.

Join the team in Spain to make a difference today.If this is of interest, please apply or reach out to ****** level:Mid-Senior levelEmployment type:Full-timeJob function:Finance and Information TechnologyIndustries:Data Infrastructure and Analytics, Software Development, and Financial Services

#J-18808-Ljbffr