58 Ofertas de Especialista Data Science en Zaragoza

En
QUANT AI LAB, seguimos creciendo para desarrollar las soluciones de inteligencia artificial y analíticas más avanzadas del mercado, siempre desde la vanguardia y con conocimientos técnicos profundamente asentados. Unirse a
QUANT AI LAB
significa formar parte de una aventura donde cada miembro es esencial para el éxito de los proyectos y el impacto global que generamos.

Somos una empresa tecnológica líder en el sector IT, reconocida por nuestra especialización en soluciones de inteligencia artificial. Nuestra excelencia y el impacto de nuestras innovaciones nos han convertido en una referencia en la industria de la IA.

Buscamos reforzar nuestro equipo con un Ingeniero de MLOps con experiencia en la implementación y gestión de pipelines de aprendizaje automático en plataformas en la nube como AWS y Azure .

Las principales responsabilidades del puesto incluyen:

• Desarrollar y gestionar pipelines de MLOps en entornos escalables, automatizando todo el ciclo de vida de modelos de aprendizaje automático, desde el procesamiento de datos hasta el monitoreo de los modelos.
• Desplegar modelos de ML utilizando servicios como AWS SageMaker y Azure Machine Learning , asegurando un rendimiento óptimo y escalable.
• Automatizar la infraestructura utilizando herramientas como Terraform o CloudFormation , optimizando los recursos en la nube para garantizar eficiencia y costos reducidos.
• Monitorear el rendimiento de los modelos, implementando alertas y procedimientos de reentrenamiento en caso de desvíos o caídas en el rendimiento.
• Colaborar con un equipo multidisciplinario de ingenieros y científicos de datos para garantizar la integración fluida de los modelos en producción.

• Disponibilidad de trabajo 100% remoto.
• Experiencia demostrable en AWS y Azure, especialmente en servicios relevantes para MLOps como AWS SageMaker, Azure Machine Learning, y herramientas de contenerización como Docker y Kubernetes.
• Conocimiento avanzado de Python y bibliotecas de machine learning como TensorFlow, PyTorch o scikit-learn.
• Dominio de prácticas de CI/CD y herramientas como Jenkins, GitLab o Azure DevOps.
• Conocimientos sólidos en Infraestructura como Código (IaC), con experiencia en Terraform o CloudFormation.
• Familiaridad con monitorización de modelos mediante herramientas como AWS CloudWatch o Azure Monitor.
• Experiencia con lenguajes de scripting como Bash o PowerShell.

Todos los candidatos podrán ser sometidos a una prueba y entrevista técnica.

• Contrato indefinido con un salario competitivo, porque valoramos y confiamos en tu talento.
• Impacto significativo: la oportunidad de trabajar con clientes de nivel internacional y compañías de referencia en el sector.
• Desarrollo profesional en un entorno de élite, donde siempre tendrás oportunidades de aprender y crecer.
• Ambiente de trabajo dinámico y colaborativo, con eventos sociales y seminarios que te permitirán disfrutar mientras creces profesionalmente.

Si te apasiona trabajar con tecnologías de vanguardia y crees que puedes aportar a nuestra unidad de MLOps, ¡nos encantaría conocerte!

En
QUANT AI LAB, seguimos creciendo para desarrollar las soluciones de inteligencia artificial y analíticas más avanzadas del mercado, siempre desde la vanguardia y con conocimientos técnicos profundamente asentados. Unirse a
QUANT AI LAB
significa formar parte de una aventura donde cada miembro es esencial para el éxito de los proyectos y el impacto global que generamos.

Somos una empresa tecnológica líder en el sector IT, reconocida por nuestra especialización en soluciones de inteligencia artificial. Nuestra excelencia y el impacto de nuestras innovaciones nos han convertido en una referencia en la industria de la IA.

Buscamos reforzar nuestro equipo con un Ingeniero de MLOps con experiencia en la implementación y gestión de pipelines de aprendizaje automático en plataformas en la nube como AWS y Azure .

Las principales responsabilidades del puesto incluyen:

1. Desarrollar y gestionar pipelines de MLOps en entornos escalables, automatizando todo el ciclo de vida de modelos de aprendizaje automático, desde el procesamiento de datos hasta el monitoreo de los modelos.
2. Desplegar modelos de ML utilizando servicios como AWS SageMaker y Azure Machine Learning , asegurando un rendimiento óptimo y escalable.
3. Automatizar la infraestructura utilizando herramientas como Terraform o CloudFormation , optimizando los recursos en la nube para garantizar eficiencia y costos reducidos.
4. Monitorear el rendimiento de los modelos, implementando alertas y procedimientos de reentrenamiento en caso de desvíos o caídas en el rendimiento.
5. Colaborar con un equipo multidisciplinario de ingenieros y científicos de datos para garantizar la integración fluida de los modelos en producción.

• Disponibilidad de trabajo 100% remoto.
• Experiencia demostrable en AWS y Azure, especialmente en servicios relevantes para MLOps como AWS SageMaker, Azure Machine Learning, y herramientas de contenerización como Docker y Kubernetes.
• Conocimiento avanzado de Python y bibliotecas de machine learning como TensorFlow, PyTorch o scikit-learn.
• Dominio de prácticas de CI/CD y herramientas como Jenkins, GitLab o Azure DevOps.
• Conocimientos sólidos en Infraestructura como Código (IaC), con experiencia en Terraform o CloudFormation.
• Familiaridad con monitorización de modelos mediante herramientas como AWS CloudWatch o Azure Monitor.
• Experiencia con lenguajes de scripting como Bash o PowerShell.

Todos los candidatos podrán ser sometidos a una prueba y entrevista técnica.

• Contrato indefinido con un salario competitivo, porque valoramos y confiamos en tu talento.
• Impacto significativo: la oportunidad de trabajar con clientes de nivel internacional y compañías de referencia en el sector.
• Desarrollo profesional en un entorno de élite, donde siempre tendrás oportunidades de aprender y crecer.
• Ambiente de trabajo dinámico y colaborativo, con eventos sociales y seminarios que te permitirán disfrutar mientras creces profesionalmente.

Si te apasiona trabajar con tecnologías de vanguardia y crees que puedes aportar a nuestra unidad de MLOps, ¡nos encantaría conocerte!

Social network you want to login/join with:

At RemoteStar, we're currently hiring for one of our client based in San Sebastian- Spain

Note: This role requires relocation to San Sebastian - Spain, VISA sponsorship will be provided by client.

About client :

Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international.

As a manager you will

• Lead an international team of engineers to develop cutting-edge solutions to the hardest industry problems for our top-tier clients.
• Lead the technical direction of complex projects, designing a technical solution to the problem and ensuring the quality of the approach and technology used.
• Manage technical projects from initiation to completion, defining the project scope, objectives, and deliverables. To achieve this, you will:
• Develop comprehensive project plans, including timelines, resource allocation, and risk assessments.
• Identify and manage project risks, developing contingency plans to address unforeseen obstacles and maintain project momentum.
• Lead and motivate a diverse team of professionals, providing guidance and direction to ensure project goals are met efficiently and effectively, fostering a collaborative and results-driven team environment.
• Monitor project performance and take proactive measures to ensure the delivery of high-quality solutions.
• Develops documentation, monitors and reports project status, assesses the effectiveness and accuracy of documentation.
• Foster clear and transparent communication channels with stakeholders, team members, and senior management to provide updates on project status, milestones, and potential challenges.
• Collaborate and communicate with other project managers and leaders to coordinate cross-project initiatives and activities.
• Demonstrates an understanding of customer's tactical goals and effectively participates in the development and implementation of business solutions.
• Contribute to the tech strategy providing clients and technology insights

Required Qualifications

• Master's degree in computer science, Engineering, Physics, Data Science, Operations Research, or related field.
• 4+ years of hands-on experience in software engineering, data science, IT and/or other relevant engineering domains.
• 1+ year of successful project management experience in leading and managing engineering teams in a technology-driven company.
• Strong understanding of AI technologies, including machine learning, natural language processing, or computer vision; or mathematical optimization.
• Experience with LLMs and Generative AI techniques such as fine tuning, pruning, RAG systems, transfer learning etc.
• Excellent command of Python, Docker and Git.
• Experience with GitHub/Gitlab workflows and functionalities.
• Solid understanding of agile development methodologies and best practices.
• Excellent leadership skills with the ability to motivate and guide cross-functional teams effectively.
• Exceptional communication and interpersonal abilities to foster collaboration and maintain strong client relationships.
• Solid organizational and time-management skills, coupled with a keen eye for detail.
• Perfect command of English and Spanish.

Preferred Qualifications

• PhD in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field.
• Experience with quantum computing and/or Tensor Networks libraries.
• Indefinite contract.
• Signing bonus.
• We offer work visa sponsorship (If applicable).
• Relocation package (if applicable).
• Private health insurance.
• Eligibility for educational budget according to internal policy.
• Hybrid opportunity.
• Flexible remuneration: hospitality and public transportation.
• Language classes and discounted lunch options
• Working in a high paced environment, working on cutting edge technologies.
• Career plan. Opportunity to learn and teach.
• Progressive Company. Happy people culture

Senior Machine Learning Engineer (LLM & GPU Architecture)

This is a great opportunity to work with one of the biggest growing tech start-ups based in Spain, they are well-funded and one of the most well-known quantum software companies in Europe. They are a provider of hyper-efficient software to companies seeking to gain an edge with quantum computing and artificial intelligence, across finance, energy, manufacturing, defence, cybersecurity, life sciences, and chemistry, delivering practical applications and tangible value with the use of their new AI & now LLM product.

Job Overview

In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, as well as working closely with cross-functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies.

Responsibilities

• Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains.
• Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency.
• Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.
• Act as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation.
• Maintain comprehensive documentation of LLM development processes, experiments, and results.
• Participate in code reviews and provide constructive feedback to team members.

Required Qualifications

• Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
• 3+ years of hands-on experience with deep learning models and neural networks, preferably working with Large Language Models and Transformer architectures, or computer vision models.
• Hands-on experience using LLM and Transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.
• Solid mathematical foundations and expertise in deep learning algorithms and neural networks, both training and inference.
• Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
• Strong understanding with the fundamentals of GPU architectures.
• Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).
• Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment
• Excellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively.
• Previous research publications in deep learning is a plus.

Key Words:
Large Language Models / LLM / Machine Learning / AI / Quantum Computing / GPU Architecture / GPGPU / GPU Farms / Multi-GPU / AWS / Kubernetes Clusters / DeepSpeed / SLURM / RAY / Transformer Models / Fine-tuning / Mistral / Llama

By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (

Senior Machine Learning Engineer (LLM & GPU Architecture)

This is a great opportunity to work with one of the biggest growing tech start-ups based in Spain, they are well-funded and one of the most well-known quantum software companies in Europe. They are a provider of hyper-efficient software to companies seeking to gain an edge with quantum computing and artificial intelligence, across finance, energy, manufacturing, defence, cybersecurity, life sciences, and chemistry, delivering practical applications and tangible value with the use of their new AI & now LLM product.

Job Overview

In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, as well as working closely with cross-functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies.

Responsibilities

• Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains.
• Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency.
• Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.
• Act as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation.
• Maintain comprehensive documentation of LLM development processes, experiments, and results.
• Participate in code reviews and provide constructive feedback to team members.

Required Qualifications

• Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
• 3+ years of hands-on experience with deep learning models and neural networks, preferably working with Large Language Models and Transformer architectures, or computer vision models.
• Hands-on experience using LLM and Transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.
• Solid mathematical foundations and expertise in deep learning algorithms and neural networks, both training and inference.
• Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
• Strong understanding with the fundamentals of GPU architectures.
• Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).
• Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment
• Excellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively.
• Previous research publications in deep learning is a plus.

Key Words:
Large Language Models / LLM / Machine Learning / AI / Quantum Computing / GPU Architecture / GPGPU / GPU Farms / Multi-GPU / AWS / Kubernetes Clusters / DeepSpeed / SLURM / RAY / Transformer Models / Fine-tuning / Mistral / Llama

By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ( />//eu-recruit.Com/about-us/privacy-notice/).

Social network you want to login/join with:

At RemoteStar, we're currently hiring for one of our client based in San Sebastian- Spain

Note: This role requires relocation to San Sebastian - Spain, VISA sponsorship will be provided by client.

About client :

Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international.

As a manager you will

• Lead an international team of engineers to develop cutting-edge solutions to the hardest industry problems for our top-tier clients.
• Lead the technical direction of complex projects, designing a technical solution to the problem and ensuring the quality of the approach and technology used.
• Manage technical projects from initiation to completion, defining the project scope, objectives, and deliverables. To achieve this, you will:
• Develop comprehensive project plans, including timelines, resource allocation, and risk assessments.
• Identify and manage project risks, developing contingency plans to address unforeseen obstacles and maintain project momentum.
• Lead and motivate a diverse team of professionals, providing guidance and direction to ensure project goals are met efficiently and effectively, fostering a collaborative and results-driven team environment.
• Monitor project performance and take proactive measures to ensure the delivery of high-quality solutions.
• Develops documentation, monitors and reports project status, assesses the effectiveness and accuracy of documentation.
• Foster clear and transparent communication channels with stakeholders, team members, and senior management to provide updates on project status, milestones, and potential challenges.
• Collaborate and communicate with other project managers and leaders to coordinate cross-project initiatives and activities.
• Demonstrates an understanding of customer's tactical goals and effectively participates in the development and implementation of business solutions.
• Contribute to the tech strategy providing clients and technology insights

Required Qualifications

• Master's degree in computer science, Engineering, Physics, Data Science, Operations Research, or related field.
• 4+ years of hands-on experience in software engineering, data science, IT and/or other relevant engineering domains.
• 1+ year of successful project management experience in leading and managing engineering teams in a technology-driven company.
• Strong understanding of AI technologies, including machine learning, natural language processing, or computer vision; or mathematical optimization.
• Experience with LLMs and Generative AI techniques such as fine tuning, pruning, RAG systems, transfer learning etc.
• Excellent command of Python, Docker and Git.
• Experience with GitHub/Gitlab workflows and functionalities.
• Solid understanding of agile development methodologies and best practices.
• Excellent leadership skills with the ability to motivate and guide cross-functional teams effectively.
• Exceptional communication and interpersonal abilities to foster collaboration and maintain strong client relationships.
• Solid organizational and time-management skills, coupled with a keen eye for detail.
• Perfect command of English and Spanish.

Preferred Qualifications

• PhD in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field.
• Experience with quantum computing and/or Tensor Networks libraries.
• Indefinite contract.
• Signing bonus.
• We offer work visa sponsorship (If applicable).
• Relocation package (if applicable).
• Private health insurance.
• Eligibility for educational budget according to internal policy.
• Hybrid opportunity.
• Flexible remuneration: hospitality and public transportation.
• Language classes and discounted lunch options
• Working in a high paced environment, working on cutting edge technologies.
• Career plan. Opportunity to learn and teach.
• Progressive Company. Happy people culture

Senior Machine Learning Engineer (LLM & GPU Architecture)

This is a great opportunity to work with one of the biggest growing tech start-ups based in Spain, they are well-funded and one of the most well-known quantum software companies in Europe. They are a provider of hyper-efficient software to companies seeking to gain an edge with quantum computing and artificial intelligence, across finance, energy, manufacturing, defence, cybersecurity, life sciences, and chemistry, delivering practical applications and tangible value with the use of their new AI & now LLM product.

Job Overview

In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, as well as working closely with cross-functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies.

Responsibilities

• Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains.
• Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency.
• Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.
• Act as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation.
• Maintain comprehensive documentation of LLM development processes, experiments, and results.
• Participate in code reviews and provide constructive feedback to team members.

Required Qualifications

• Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
• 3+ years of hands-on experience with deep learning models and neural networks, preferably working with Large Language Models and Transformer architectures, or computer vision models.
• Hands-on experience using LLM and Transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.
• Solid mathematical foundations and expertise in deep learning algorithms and neural networks, both training and inference.
• Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
• Strong understanding with the fundamentals of GPU architectures.
• Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).
• Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment
• Excellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively.
• Previous research publications in deep learning is a plus.

Key Words:
Large Language Models / LLM / Machine Learning / AI / Quantum Computing / GPU Architecture / GPGPU / GPU Farms / Multi-GPU / AWS / Kubernetes Clusters / DeepSpeed / SLURM / RAY / Transformer Models / Fine-tuning / Mistral / Llama

By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ( />//eu-recruit.Com/about-us/privacy-notice/).

Social network you want to login/join with:

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Our costumer is a rapidly growing HR tech startup based in Italy has developed a SaaS platform for AI-powered Skill Assessment. The solution is designed to help organizations identify top talent and evaluate skills, cultural alignment, and leadership potential across the workforce. In today’s dynamic labor market, where skills have become a top priority for HR departments, this platform enables companies to conduct large-scale AI assessments for both external recruitment and internal development. The company recently secured €5.5 million in funding from leading VC firms and currently partners with major enterprises across banking, retail, and luxury sectors.

We are looking for an experienced Full Stack Machine Learning Engineer to join its Science & AI team in reshaping the future of skill assessment. The ML engineer will contribute to cutting-edge AI initiatives led by the company’s head of science, playing a key role in designing, fine-tuning, deploying, and enhancing an advanced GenAI-driven assessment system in an agile environment.

Experiences :

• A background in computational-enabled or data science disciplines is required
• A background in a subdiscipline of behavioral science will be regarded as an advantage
• 5+ years of research or practical experience in machine or deep learning, with a focus on natural language processing and large language modeling
• 3+ years of experience in training and deploying GenAI in a software system, whether on-cloud or in-premise.
• Additional experience in retrieval augmented generation (RAG) is preferred.
• The ability to design and deploy real-time GenAI-based conversational AI agents is favored.
• Experience in ML-Op pipeline and versioning, from data to model deployment
• Experience in building API web service

Skills:

• Fluency in programming languages, including Python and Typescript .
• Knowledge in database management such as with mySQL
• Experience with online platforms such as AWS
• Knowledge in designing a Chatbot-enabled web interface with customizable prompts, vector databases, and code agent functionality.
• Fluency in English (C1) (team communication language)
• Organized, agreeable, open-minded, and team-oriented soft-skills

Location: Remote but based in the EU - HQ is based in Milan, flexibility to work remotely

¿Tienes experiencia como Machine Learning Engineer ? ¿Te apasiona la tecnología y el desarrollo? ¿Buscas proyectos que tengan impacto? Si es así, sigue leyendo.

• Cultura de mejora continua: Te integrarás en un proyecto desafiante que potenciará tus conocimientos y experiencia.
• Crecimiento profesional: Priorizamos la promoción interna y el desarrollo de nuestro equipo.
• Cercanía: En Nunegal Consulting nos conocemos por el nombre, somos personas, no números.
• Buen rollo: Somos un equipo colaborativo, nos ayudamos y compartimos conocimientos. ¡Y somos conocidos por nuestro #Nunefest!

¿Qué te ofrecemos?

• Incorporación a una empresa en constante crecimiento.
• Teletrabajo 100%.
• Retribución flexible (ticket restaurante, seguro médico.).
• Formación continua.
• ¡Y mucho más!

• Colaborarás estrechamente con los Data Scientists, ayudándoles a integrar modelos de machine learning de forma sencilla y eficiente.
• Trabajarás con grandes volúmenes de datos utilizando PySpark, SQL y Python: identificarás problemas, limpiarás datos y prepararás los inputs necesarios para los modelos.
• Desarrollarás y adaptarás modelos clásicos y probabilísticos según las necesidades del proyecto.
• Diseñarás un sistema inteligente para supervisar pipelines fallidos mediante agentes con RAG y LLMs, enviando alertas y soluciones automáticas a través de Microsoft Teams.
• Crearás un framework de MLOps escalable con Azure ML, DevOps y Databricks para facilitar el despliegue de modelos.
• Apoyarás a perfiles junior compartiendo buenas prácticas y ayudándoles en su crecimiento técnico dentro del equipo.
• Trabajarás en un entorno internacional, donde el inglés será el idioma habitual de comunicación.

• Amplios conocimientos en deep learning, modelos probabilísticos y procesamiento de datos.
• Experiencia trabajando con SQL, Python, PySpark y desarrollando modelos avanzados utilizando Keras, PyTorch, ya sean modelos clásicos o probabilísticos.
• Experiencia en GitHub o herramientas similares, y buen manejo en entornos cloud como Azure, Databricks y Google Cloud.
• Inglés alto.