Ofertas de empleo para machine-learning

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

. Python Azure Cloud Coumputing Git Machine Learning

¡En Ayesa crecemos contigo!

En Ayesa no esperamos al futuro, lo lideramos. A través de la tecnología y la ingeniería lo hacemos posible, convirtiendo retos en oportunidades, conceptos en soluciones y visión en impacto real. Paso a paso nos acercamos a un futuro mejor. Con tu pasión, talento y determinación, seguiremos transformando el presente y construyendo el futuro. Ayesa, Making It Happen.

Si eres una persona entusiasta, te apasiona la tecnología y buscas un nuevo reto profesional, ¡éste es tu sitio!

Buscamos ampliar nuestro equipo con un/a Consultor/a Senior LLM con experiencia en desarrollo y mantenimiento de casos de uso IA para incorporarse a nuestro equipo de Bizkaia en modalidad híbrida.

¡Anímate a dar el salto! ¡Te estamos esperando!

¿Qué vas a hacer?

• Identificar oportunidades de aplicación de IA en procesos internos y productos, analizando necesidades del negocio y proponiendo soluciones viables.
• Diseñar, desarrollar y documentar casos de uso de IA, desde la recopilación de requerimientos hasta la definición de objetivos, métricas y resultados esperados.
• Evaluar y seleccionar modelos de IA adecuados Además de preparar y gestionar datasets, incluyendo limpieza, etiquetado, validación etc...
• Entre otras funciones propias del puesto.

¿Qué buscamos?

Profesionales con:

• Buen manejo con Python, PySpark y Git.
• Experiencia en diseño de pipelines de datos y procesos ETL.
• Conocimientos y experiencia en NLP y LLMs.
• Experiencia práctica en el diseño e implementación del pipeline RAG, incluyendo:
• Bases de Datos Vectoriales: Uso y gestión de almacenes vectoriales (Vector Stores) como Pinecone o ChromaDB. Modelos de embeddings y su aplicación para la recuperación de documentos. Frameworks de IA Agéntica: CrewAI y LangGraph.
• Experiencia en el Cloud de Azure y el uso servicios cognitivos como Document Intelligent.
• Conocimientos avanzados en Machine Learning, Deep Learning y estadística aplicada.
• Conocimiento de técnicas de MLOps y LLMOps.

Te ofrecemos un camino lleno de aventuras:

• ¡Llega hasta donde tú quieras! ¡Crece con nuestros programas de desarrollo! Te ayudaremos a marcar tu itinerario de futuro anualmente participando en proyectos vanguardistas con los mejores profesionales del sector.
• Porque lo importante sois tú y los tuyos: contamos con políticas que facilitan la conciliación entre la vida profesional y personal: Flexibilidad horaria, Smart Job y jornada intensiva en verano.
• Tú decides cómo usar tu dinero: disfruta de nuestra retribución flexible, contamos con: Seguro médico, Ticket Restaurant, Guardería y Transporte.
• Plan Bienestar descuentos en viajes, tecnología, formación, deporte, belleza y ¡muchos más!
• Diviértete participando en los diferentes concursos y actividades que organizamos: ¿te gusta el deporte, escribir, la fotografía? Todo tiene cabida.
• ¡Actualízate! apostamos por un aprendizaje continuo, contamos con formación especializada, certificaciones e idiomas
• ¡Deja tu huella! Impacta con nuestros proyectos de voluntariado social.

¡Únete a la multinacional española tecnológica referente en el mundo!

Atendiendo a la Ley Orgánica 3/2007, de 22 de marzo, Ayesa se ha marcado como objetivo promover la defensa y aplicación efectiva del principio de igualdad entre hombres y mujeres, evitando cualquier tipo de discriminación laboral por razón de sexo, garantizando así las mismas oportunidades de ingreso. Asimismo, fomentamos la diversidad, rechazando cualquier tipo de discriminación por razones de raza, sexo, diversidad funcional, religión, orientación sexual, identidad sexual, o cualquier otra condición personal o social, apostando por construir un entorno inclusivo y enriquecedor.

#LI-AF1

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

. Cloud Coumputing Machine Learning

OverviewThe Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain.

It houses MareNostrum, one of the most powerful supercomputers in Europe, and is the hosting entity for EuroHPC JU.

The mission of BSC is to research, develop and manage information technologies to facilitate scientific progress.

BSC combines HPC service provision and R&D in computer and computational science, with over **** staff from 60 countries.PositionAI Factory EngineerClosing DateSaturday, 31 January, ****ContextThe BSC AI Factory Engineer is responsible for developing, adapting, and deploying AI solutions within the BSC AI Factory, leveraging advanced AI techniques and high-performance computing infrastructures such as MareNostrum-5.

The role focuses on building scalable, reproducible, and production-ready AI pipelines, models, and architectures to support services delivered to industry, startups, and public institutions.

Working closely with researchers, service project managers, and external users, the AI Factory Engineer contributes to data preparation, model training and fine-tuning, RAG architectures, benchmarking, and optimization, ensuring efficient use of AI Factory resources.

The role combines strong technical expertise with a service-oriented mindset, supporting the continuous evolution and operational excellence of the BSC AI Factory.

This project is funded by the EU Recovery and Resilience Facility and by the JU under grant agreement No *********.

For more information: DutiesDesign, develop, fine-tune, and deploy AI models and end-to-end pipelines as part of AI Factory service delivery, ensuring scalability, reproducibility, and production readiness.Implement and optimize AI workloads on AI Factory computing environments (e.g. Playground, Fast Lane, Large Scale), making efficient use of MN5 and related infrastructures.Prepare, process, and validate data for AI services, including feature engineering, dataset curation, and support for domain-specific use cases.Design and implement advanced AI solutions such as RAG architectures, model adaptation strategies, benchmarking setups, and performance optimization workflows.Provide hands-on technical support and expert advisory to AI Factory users, translating service requests into concrete technical outputs.Collaborate with service project managers, researchers, and domain teams to deliver agreed technical outputs within defined service scopes and timelines.Apply security, ethical, and governance guidelines across all technical deliverables produced within the AI Factory.Document technical solutions, workflows, and best practices to support service standardization, reuse, and continuous improvement.RequirementsEducationDegree in a technical or scientific field such as Computer Science, Engineering, Data Science, Mathematics, Physics, or equivalent practical experience.Advanced academic degrees (Master's or PhD) in AI, machine learning, or related areas are a plus but not mandatory.Essential Knowledge and Professional ExperienceProven experience in developing, training, and deploying AI models and pipelines in applied or production-like environments.Hands-on experience with modern AI frameworks and large-scale or high-performance computing infrastructures.Experience working in multidisciplinary teams and delivering technical outputs within service-oriented or industrial contexts.Additional Knowledge and Professional ExperienceExposure to cloud or hybrid computing environments and MLOps practices.Experience supporting users or clients through technical advisory, training, or service delivery activities.Familiarity with data governance, security, ethical AI, or compliance frameworks in applied AI projects.CompetencesStrong analytical and problem-solving skills applied to complex AI and data challenges.Ability to work autonomously while collaborating effectively within multidisciplinary teams.Service-oriented mindset with a focus on delivering reliable and high-quality technical outputs.Clear communication skills to explain technical concepts to both technical and non-technical stakeholders.Attention to quality, reproducibility, and documentation of technical work.Capacity to manage priorities and deliver results within agreed timelines.ConditionsThe position will be located at BSC within the Directors Department.We offer a full-time contract (37.5h/week), a good working environment, state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, and relocation support.Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration.Holidays: 22 days + 6 personal days + 24th and 31st of December per the collective agreement.Salary: competitive and commensurate with qualifications and experience, in line with cost of living in Barcelona.Starting date: 01/02/2026Applications procedureAll applications must be submitted via the BSC website and contain:A full CV in English including contact detailsA cover/motivation letter with a statement of interest in English, specifying the area and topics of interest.

Include two references.

Applications without this document will not be considered.Diversity and RecruitmentWe promote Equity, Diversity and Inclusion, fostering an environment where everyone is appreciated for who they are.

In instances of equal merit, the incorporation of under-represented groups will be considered.

The recruitment process follows OTM-R principles and aims for a gender-balanced panel and transparent evaluation.

Details and contact: ******.

#J-*****-Ljbffr

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

Teletrabajo . Javascript MongoDB TSQL NoSQL TypeScript PostgreSQL Machine Learning Office

Get to know Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences.

Join our team! We’re building a world where Identity belongs to you.

At Okta, we’re building the next generation of authentication for the Agentic AI era. We’re looking for a Senior Engineer to join our AI Authentication team – a group of product-minded, deeply technical engineers delivering features to define what identity and access mean in a world increasingly powered by artificial intelligence.

This is a great opportunity for an Senior engineer who thrives in collaborative environments, is eager to grow their technical depth, and wants to build scalable systems that solve real-world security problems.

Auth0 Emerging Tech is the Engineering organization where we take care of the hottest technology out there: we ship fast, we don't break things. We are a dynamic and collaborative distributed and diverse team. We value ownership, learning and innovation.

We launched our Auth for GenAI offering and we are looking for an Engineer II to join us to lead the team taking care of the Identity Protocols parts of the game.

Auth0 works with NodeJS ( Javascript or Typescript), a hint of Go and MongoDB or PostgreSQL databases.

What will you do:

• Bring expertise in identity and security while building innovative features and standards that will secure the Agentic AI world
• Build and maintain scalable services using TypeScript, NodeJS, and PostgreSQL/MongoDB.
• Collaborate with other product managers, designers, and senior engineers to deliver features that improve identity and access for GenAI applications.
• Write clean, testable, and maintainable code, and participate in code reviews and system design discussions.
• Contribute to observability and alerting systems to ensure reliability and performance of our services.
• Continuously learn and grow by working alongside experienced engineers on complex distributed systems.
  
  

Qualifications And Requirements

What you'll bring to the role:

• Solid programming experience with JavaScript/TypeScript and familiarity with NodeJS runtime environments.
• Practical experience with SQL and NoSQL databases (preferably Postgres and MongoDB).
• The ability to write well-tested, good quality code.
• An enjoyment of working in an iterative development environment.
• The ability to work well with technical and non-technical people to deliver high-value results.
• Excellence when working autonomously, knowing when to seek help from team members.
• A systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
• Experience and understanding of architecture principles across infrastructure platforms, security, data, integration, and application layers.
• Experience working on resilient products that can scale.
  
  

Bonus points for:

• Understanding of IAM Concepts
• Experience with using AI Agents, to better understand the problem space we operate in
• Experience creating and maintaining public and secure APIs.
• Curiosity about AI and its intersection with identity and security.
• Experience working on Identity and Access Management software and concepts
• Knowledge of observability tools like Datadog, Prometheus, or OpenTelemetry.
  
  

P23584_3236893

What you can look forward to as a Full-Time Okta employee!

• Amazing Benefits
• Making Social Impact
• Developing Talent and Fostering Connection + Community at Okta
  
  

Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Some roles may require travel to one of our office locations for in-person onboarding.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

• Nivel de experiencia---
• Tipo de contratoTemporal
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. Python Linux C++ Machine Learning

Job Description:

Ready to join one of our Graduate Programs in Spain ?

AIRBUS offers vacancies for our full-time graduate program in Spain - #DISCOVER I 2026/2027 - Starting date March 2nd 2026 .

We are looking for recent graduates from different disciplines interested in developing their professional career in the aeronautical sector. The current context demands different ways of looking, thinking and relating.

The selection process will be during October 2025 until February 2026.

What does this internship consist of ?

Together with Camilo José Cela University, Airbus has developed an exclusive program (#DISCOVER) designed for those interested in the best training in new areas of knowledge essential to be able to develop as professionals of the future.

You will have the opportunity to study a Master, organized in three training blocks, that will allow you to DISCOVER the skills most in demand today. It will be combined with an 11 month internship at Airbus in an area related to your degree, where you can learn and complete your academic background.

The start of the internship will be in early March 2026, and will last 11 months (August disabled for all purposes). It is a full-time experience (40h/week), in which you will receive an attractive study grant.

Internship Job Description :

We are looking for candidates interested in developing their professional career in the field of multidisciplinary analysis and optimization, using surrogate modeling and artificial intelligence techniques to support decision making processes during aircraft design.

The selected candidate will have the opportunity to work in an international environment and receive training on cutting-edge technologies.

The main tasks will be related to the development of tools and methods for multidisciplinary analysis and optimization of aircraft systems, including the use of surrogate models and machine learning algorithms. The candidate will also participate in the integration of these tools within the overall aircraft design process and applying them on real use cases.

Required skills #AirbusDiversity

As a successful candidate, you will be able to demonstrate the following skills and experience:

• Master’s degree in Aeronautical or Industrial Engineering or equivalent.
• Advanced level in English.
• Spanish B1 level.
• Knowledge in programming languages such as C++, Python or Fortran would be highly valued.
• Experience in the use of high performance computing (HPC) environments and linux operating system.
• Familiarity with aeronautical design tools (CATIA, FEM, etc.) and overall aircraft design methodologies.
• Interest in the application of artificial intelligence techniques (Deep Neural Networks, Autoencoders, Transformers, Generative AI, etc..) to engineering problems such as aerodynamic shape design taking into account flight physics (aerodynamics, loads, mass properties, vehicle performance, handling qualities, etc..) and other engineering disciplines (manufacturing, noise, signature, etc...).
• Advanced mathematical methods and statisctical acumen will be highly valued.
• Good communication and teamwork skills.
• Ability to adapt to a changing and demanding working environment.
  
  

Why should you apply?

• Foster your professional development with a strong academic background and an in-depth collaboration in AIRBUS projects.
• Expand your network within the aeronautical industry.
• Meet our people working with passion and determination to make the world a more connected, safer and smarter place.
• Be part of our diversity and teamwork culture that propel us to accomplish the extraordinary - on the ground, in the sky and in space.
  
  

Are you interested? Apply and make it fly!

#Graduates_Spain

#DISCOVER

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:

Internship

Experience Level:

Student

Job Family:

Support to Management

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [email protected] .

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.

#YESPOST

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

. Python Azure Linux Docker Cloud Coumputing Git AWS Terraform Machine Learning

What you will do

• Transform proof-of-concept scripts into Pipelines with different processing steps
• Develop and maintain monitoring and alerting systems to ensure the health and performance of deployed models
• Cross-functional collaboration with research teams and development teams
• Maintain scalable, robust, and reliable infrastructure for model training, testing, deployment, and monitoring
• Optimize and enhance model performance, scalability, and reliability in production environments
• Take responsibility for code testing and quality checking
• Stay on top of the latest trends in the field of MLOps and cloud platforms
  
  
  

Your profile

• Bachelor's or Master's degree in Computer Science, Data Engineering, Biomedical Engineering, or a related field
• Strong programming skills in Python
• Experience with machine learning frameworks such as TensorFlow, PyTorch, ONNX, or scikit-learn
• Proficiency in cloud platforms such as AWS SageMaker (preferred), GCP Vertex A,I or Azure ML
• Experience with medical imaging is a plus
• Knowledge of experiment tracking frameworks like mlflow or weights & biases
• Familiarity with Docker
• Familiarity with version control systems (e.g., Git, Git-LFS, DVS) and CI/CD pipelines
• Experience with Terraform
• Professional English language skills
• Solid knowledge of Linux and Windows operating systems
  
  
  

Location and type of contract

• Leuven, Belgium; Barcelona, Spain
• Full-time
• Hybrid
• Mid-senior level
• CV in English

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

. Javascript Python Docker Cloud Coumputing Kubernetes DevOps Machine Learning Office

ESA Graduate Trainee in Science Platform Hybrid-Cloud Extension Development

Job Requisition ID: 20230

Date Posted: 1 February 2026

Closing Date: 28 February 2026 23:59 CET/CEST

Publication: External Only

Type of Appointment: ESA Graduate Trainee

Directorate: Science

Workplace:

Villanueva de la Cañada, ES

Grade Band: F1 - F1

Location

ESAC, Villanueva de la Cañada, Spain

Our team and mission

ESA maintains a world-leading Science Programme with missions in helio-physics, planetary science, astrophysics and fundamental physics. Its mission is to 'Empower Europe to lead space science'. The Department for Science Operations and Office for Science Engagement and Oversight host together the scientists and engineers that oversee the space missions, from study to end of operations. It defines and develops the science operation systems for the missions and operates the missions in space, as well as archiving and curating their data during operations and beyond. Our main objective is to maximise the scientific output of ESA's space science missions for the benefit of humankind.

You will join the Data Science Section to support the development of the ESA Datalabs science platform and studies related to its extension towards a hybrid-cloud, jointly with the underlying ESDC archives. The Data Science section is a cross-disciplinary team working with various science missions including Euclid, Planck, Gaia, XMM-Newton and JWST and science operations teams. Aside from experts in astronomy, computer science and systems engineering, the section frequently works with many young professionals as well as universities, researchers and students. Through its diverse setup, the section tackles many tasks ranging from technical infrastructure topics over scientific activities to (international) community building efforts around data science and machine learning.

You are encouraged to visit the ESA website: http://www.esa.int

Field(s) of activity/research for the traineeship

The goal of the traineeship is to support the development of our ESA Datalabs science platform and in particular the study towards a hybrid model (on-premises and cloud), planned to be carried out for ESA Datalabs and the Planck and Euclid Q1 science archives.

The platform, ESA Datalabs, is built on top the archives developed by the ESDC (ESAC Science Data Centre) and IT infrastructure provided by the Programmatic IT team. Its objectives are to increase the science return of ESA science missions through offering data exploitation functionalities, leveraging AI and ML projects and providing collaborative research environment. We are looking to extend the current on-premises setup to be capable of running in a distributed setup, with parts of the system deployed at academic institutions or with European cloud providers. This traineeship is an exciting opportunity to learn and apply a wide range of technical skills and to contribute to help scientists improve our understanding of the universe by making science data accessible to researchers worldwide.

Your tasks will include:

• supporting the study and the proof-of-concept related to extending archives and science platform into a distributed cloud setup;
• support the deployment of the Planck and Euclid Q1 archives into a hybrid cloud context;
• support the deployment of the ESA Datalabs science platform into a hybrid cloud context;
• support the integration of the ESA Datalabs science platform with archives in the context of their deployment towards the hybrid cloud context;
• interact with various stakeholders from multiple ESA teams (Data Science, ESDC, Programmatic IT, missions) and external cloud providers;
• if time permits, support other tasks of the Data Science team, such as tests and validation of the ESA Datalabs development, and organization of Data Science workshops at ESAC making use of the platform.
  
  
  

Technical competencies

Knowledge of relevant technical/functional domains

Relevant experience gained during internships, project work and/or extracurricular or other activities

General knowledge of the space sector and relevant activities

Knowledge of ESA and its programmes/projects

Behavioural competencies

Result Orientation

Operational Efficiency

Fostering Cooperation

Relationship Management

Continuous Improvement

Forward Thinking

For more information, please refer to ESA Core Behavioural Competencies guidebook

Education

You should have just completed, or be in the final year of your master’ s degree in computer science or a related field.

Additional Requirements

You should have good interpersonal and communication skills and should be able to work in a multicultural environment, both independently and as part of a team. Previous experience of working in international teams can be considered an asset. Your motivation, overall professional perspective and career goals will also be explored during the later stages of the selection process.

You should also:

• be familiar with software development and software engineering best practices, ideally in both cloud-based and on-premise environments.
• be familiar with, or come with a strong interest, in learning about Kubernetes
  
  
  

Experience in the following areas would be considered an advantage:

• DevOps engineering practices;
• Open-source software development;
• HPC and batch-processing frameworks;
• Tools and languages such as Python, JavaScript, Jupyter and Docker;
• Network infrastructure and security.
  
  
  

Diversity, Equity and Inclusiveness

ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment. We therefore welcome applications from all qualified candidates irrespective of gender, sexual orientation, ethnicity, religious beliefs, age, disability or other characteristics.

At the Agency we value diversity, and we welcome people with disabilities. Whenever possible, we seek to accommodate individuals with disabilities by providing the necessary support at the workplace. The Human Resources Department can also provide assistance during the recruitment process. If you would like to discuss this further, please contact us via email at [email protected].

Important Information and Disclaimer

During the recruitment process, the Agency may request applicants to undergo selection tests. Additionally, successful candidates will need to undergo basic screening before appointment, which will be conducted by an external background screening service, in compliance with the European Space Agency's security procedures.

The information published on ESA’s careers website regarding working conditions is correct at the time of publication. It is not intended to be exhaustive and may not address all questions you would have.

Nationality and Languages

Please note that applications can only be considered from nationals of one of the following States: Austria, Belgium, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, the Netherlands, Norway, Poland, Portugal, Romania, Slovenia, Spain, Sweden, Switzerland, and the United Kingdom. Nationals from Latvia, Lithuania and Slovakia as Associate Member States, or Canada as a Cooperating State, can apply as well as those from Bulgaria, Croatia, Cyprus and Malta as European Cooperating States (ECS).

According to the ESA Convention, the recruitment of staff must take into account an adequate distribution of posts among nationals of the ESA Member States*. When short-listing for an interview, priority will be given to external candidates from under-represented Member States*.

The working languages of the Agency are English and French. A good knowledge of one of these is required. Knowledge of another Member State language would be an asset.

• Member States, Associate Members or Cooperating States.
  
  
  

Who we recruit »

Recruitment Process »

What we offer »

Life at ESA »

FAQ »

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada1 feb.

. Agile Azure Cloud Coumputing ERP Machine Learning

⚡We are your Energy Technology Partner. We electrify, automate, and digitalize every industry, business, and home, driving efficiency and sustainability for all. 

 

At Schneider Electric, our values – IMPACT (Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork) – are the foundation of everything we do. Becoming an Impact Maker means turning sustainability ambitions into actions at the intersection of automation, electrification, and digitization. 

 

Are you ready to lead the digital transformation to create a more sustainable world?🌳

If you are up to challenge your creativity and make an impact, we are excited to welcome you!

 

Schneider Digital is the digital department of Schneider Electric, leading the digital transformation in the company by giving support globally to our internal teams and our clients. Schneider Digital consists of 6 Digital Hubs worldwide which are strategically located to ensure a 24/7 support across the company (France, China, India, USA, Mexico and Spain). Our Digital Hub in Barcelona is formed by +450 employees working in strategic projects and different roles such as Data, Cybersecurity, ERP, Cloud, Infrastructures, IT Project Management or Digital Marketing.

 

We are seeking a Data Product Manager to lead the development and evolution of our Energy & Industrial data platform, enabling advanced analytics, AI-driven insights, and semantic interoperability across global operations. This role is pivotal in shaping how Energy & Industrial data is ingested, processed, stored mapped to semantic models, and exposed through modern data products.

 

You will work closely with engineering, architecture, and domain experts to define product vision, prioritize capabilities, and ensure delivery aligns with business outcomes. The ideal candidate combines industrial domain knowledge, cloud-native data architecture experience (Microsoft Azure preferred), and a passion for data-driven innovation.

 

Key Responsibilities

•            Product Roadmap

• Define and own the roadmap for the data platform, with focus on ingestion, processing and storage of data
• Translate business needs into clear product requirements and success metrics
• Contribute to the overall formation of data product startegy

•            Capability Development

• Drive implementation of OneLake Medallion architecture, ingestion pipelines, and data product management frameworks.
• Good understanding of RDF stores, domain ontologies, and physical-to-semantic mapping processes.

•            Stakeholder Engagement

• Collaborate with business domain experts, architects and engineers to meet real-world use cases.
• Act as the voice of the customer

•            Governance & Standards

• Good understanding of data product lifecycle management, ontology stewardship, and compliance with security and privacy standards.

•            Exposure & Adoption

• Drive adoption through documentation, onboarding, and enablement programs.

 

What qualifications will make you successful for this role?

 

Required Qualifications

• Industrial Background: Experience in manufacturing, energy, or process industries with understanding of OT/IT integration.
• Cloud Expertise: Hands-on experience with Microsoft Azure data services (Azure Data Lake, Synapse, Event Hub, Data Factory, Purview).
• Data Architecture Knowledge: Familiarity with Medallion architecture, data pipelines, and semantic technologies (RDF, SPARQL, SHACL).
• Product Management Skills: Proven ability to define roadmaps, write user stories, and manage backlog in Agile environments.
• Communication & Leadership: Strong ability to influence cross-functional teams and articulate technical concepts to business stakeholders.

 

Preferred Qualifications

• Experience with AI/ML platforms (Azure Machine Learning, feature stores, MLOps).
• Knowledge of industrial data standards (OPC UA, ISA-95, ISO 50001).
• Familiarity with knowledge graphs, ontologies, and semantic data modeling.
• Exposure to data governance frameworks and compliance requirements.

 

What will you get?

We adapt to you:

🕓 With our flexible schedule, you'll have the freedom to adjust your work hours to accommodate your personal needs and responsibilities.

💻 We know how great it is to work from home. With our hybrid work plan, you can enjoy working from the comfort of your home.

🏝 Need more time to relax and disconnect? With our Holy Pack, you can purchase additional vacation days to recharge when you need it most.

📅 Celebrate holidays your way! With Floating Holidays, you can exchange holidays for other days that better suit your plans and personal preferences.

🧘Need additional time to explore new experiences or focus on personal projects? With the Sabbatical Pack, you can request up to 2 months of extra leave (unpaid).

💞 We value the importance of family and want to support you in all aspects of your life. Our Global Family Leave Policy provides flexible paid conditions for when you need it most, whether you're about to be a parent, need time to overcome a loss, or to care for a loved one.

 

We take care of you:

📱 With access to the health and wellness platform Wellwo, you and up to 5 people of your choice can enjoy access to wellness content, nutrition counseling, fitness classes, and more!

🏄From dance classes to booking a hotel spa, we offer an agreement with Wellhub so you can access a network of thousands of gyms and sports centers to keep your body active in the way you like best.

🩺 Your well-being is our priority. You will have medical service at your workplace for close attention to any medical needs.

 

We empower you:

🎯 With Career Hub, our AI-driven professional development platform, you can connect with job opportunities, projects, and mentors at Schneider Electric globally.

🤑 We offer you the opportunity to be a shareholder of Schneider Electric and share in our achievements with our stock ownership program.

🙌 We celebrate everyone's talent and success with our recognition program, through which you can give and receive points for your achievements and redeem them for gift cards at your favorite stores.

💗 You will have life insurance for your protection.

💰 We offer you a Flexible Remuneration Plan in which you can choose from a variety of options, such as health insurance, meal vouchers, childcare vouchers, transportation vouchers, training, and more.

🎁 With Club Schneider, you will enjoy special discounts at your favorite stores, restaurants, travel agencies, and other external services.

💚 Participate in company-subsidized volunteer programs to contribute to our community and have a positive impact on your environment.

 

DIGCLD24

 

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our  IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric – apply today!

€36 billion global revenue
+13% organic growth
150 000+ employees in 100+ countries
#1 on the Global 100 World’s most sustainable corporations

 

 

You must submit an online application to be considered for any position with us. This position will be posted until filled.

 

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

 

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
 
Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

 

 

 

 

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada1 feb.

. Python TSQL Cloud Coumputing Big Data Machine Learning

Ingeniero de Inteligencia Artificial (Agentic AI)

Ubicación: Madrid (modelo híbrido; se requiere residencia en Madrid)

Experiencia deseable: 1 – 4 años

Fecha de inicio: Incorporación inmediata

Quiénes somos

En Quantia Ingeniería y Consultoría, nos especializamos en transformar procesos complejos a través de tecnologías de vanguardia como los agentes de IA, Machine Learning, la digitalización, la analítica avanzada y los gemelos digitales. Nuestros socios son destacadas instituciones financieras a nivel mundial, así como empresas líderes en los sectores energético, telecomunicaciones e industrial.

Formación exigida

• Grado o Máster en Ing. Informática, Telecomunicaciones, Matemáticas u otra ingeniería similar.
• Se valorará positivamente la formación adicional en Machine Learning, Big Data o Data Science.

Sobre el rol. Qué harás

• Proyectos de Data Science para entidades financieras Tier 1 abarcando desde Machine Learning clásico hasta desarrollo de agentes de Inteligencia Artificial (Agentic AI).
• Diseñar y desplegar agentes de IA orientados a negocio (copilotos, asistentes internos, automatización de back‑office), definiendo objetivos, herramientas, permisos, flujos multi‑agente... desde prototipo hasta producción.
• Construir evaluaciones y LLMOps: tests automáticos, datasets, métricas de calidad/seguridad, observabilidad, monitoreo, guardrails, control de costes/latencia, y despliegues CI/CD en cloud o on‑prem.
• Procesos discovery con clientes de alto nivel: workshops, mapeo de procesos, definición de casos de uso, ROI, riesgos y roadmap; coordinación con squads (data, software, ciber) y gestión ágil para entregar incrementos.
• Soporte técnico en preventa: estimaciones y TCO; diseñar arquitectura de soluciones (APIs, seguridad, escalabilidad); y desarrollar POCs/MVPs con Python/TypeScript, frameworks de agentes y vector DBs.

Habilidades técnicas deseables

• ML / Agentic AI: Imprescindible experiencia demostrable entrenando y desplegando modelos de Machine Learning y/o Agentic AI.
• MLOps: experiencia con automatismos de versionado, entrenamiento, evaluación, despliegue y monitorización de modelos de Machine Learning y optimización.
• Agentic AI: Experiencia demostrable en el dominio de la Agentic AI, utilizando librerías como Langchain y LangGraph. En términos de protocolos de Agentic AI, la experiencia en el uso de MCP, gestión de memoria y comunicación entre agentes es un plus.
• CI/CD para ML: Experiencia en la implementación de pipelines CI/CD para modelos de aprendizaje automático.
• Data Science: Sólido conocimiento de SQL y Python con experiencia práctica en librerías de ML/GenAI. Algunas de ML son Scikit-learn, TensorFlow, PyTorch y XGBoost. Se considerará una habilidad excepcional en otros lenguajes de programación.
• Arquitectura de soluciones: Experiencia demostrable diseñando proyectos y soluciones basadas en cloud e IaC en el dominio de la Inteligencia Artificial. Integración de bases de datos vectoriales (Pinecone/Qdrant) y APIs robustas (FastAPI).

¿Por qué unirte a Quantia?

Somos una empresa de tecnología ágil y orientada a la innovación, experta en el desarrollo y despliegue robusto de modelos y agentes inteligentes. Ofrecemos un paquete de beneficios competitivo, así como oportunidades continuas de aprendizaje y desarrollo profesional. Creemos que nuestro equipo rinde al máximo cuando se siente respaldado, por lo que ofrecemos programas de bienestar y modalidades de trabajo flexibles.

Qué ofrecemos

• Plan de carrera acelerado y asunción de responsabilidad real, liderando equipos y gestionando clientes.
• Proyectos de Vanguardia: Trabajarás con "Agentic AI" real, no solo chatbots sencillos, para las empresas más grandes del mundo.
• Salario competitivo basado en el rendimiento.
• Opciones de retribución flexible.
• Entorno de trabajo colaborativo y dinámico.

¿Te interesa el reto?

Si tienes experiencia con agentes inteligentes, te apasionan las aplicaciones de IA en el mundo real, nos encantaría saber de ti.

¡Envíanos tu CV y únete a nuestro equipo!

• https://quantia.es/ofertas/agentic-ai-engineer/

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada30 ene.

Teletrabajo . TSQL Excel Machine Learning Tableau

As a Staff Product Data Analyst, you’ll leverage data to drive strategic decision-making and optimize product performance. Success in this position means delivering actionable insights that lead to measurable improvements in product KPIs and overall user satisfaction. This role is integral to our product team, ensuring data-driven decisions guide our product strategy and innovation efforts.

You’ll join the Product Insights department, composed of the Product Data Analytics team and Product Research team. In charge of having a 360 customer knowledge view, we combine quantitative and qualitative insights to inform the product roadmap. You will be responsible to support the Growth product line, focused on making the Product self-serve, from trial to conversion, and partner directly with the Director/VP of Product. You will be reporting to the Data Analytics manager of this team.

What You’ll Do

• Identify and establish the core Key Performance Indicators (KPIs) that the product team will focus on to measure product success and impact. Ensure these KPIs align with overall business objectives and provide a clear framework for evaluating product performance.
• Guide and empower product teams with advanced methodologies and analytical tools to foster a data-driven culture. Provide training and support to ensure teams can independently leverage data insights in their decision-making processes.
• Help shape the experimentation strategy of our fast-paced team by designing A/B tests and testing guidelines, aligning success metrics across cross-functional teams, validating the technical setup, tracking experiment performance, and guiding stakeholders on expected time to insights and interpretation of results.
• Conduct thorough analysis of product performance metrics and user behavior to identify trends, issues, and opportunities for improvement. Use these insights to drive strategic decisions that enhance product functionality, user experience, and market competitiveness.
• Partner with the Product researcher of your line to create and maintain an overview of the performance insights uncovered throughout the customer journey, identify the customer knowledge gaps that remain and leverage critical thinking to proactively influence the product roadmap discussions.
• You’ll partner directly with the Director of Product of the Line you’re covering.
  
  

What You’ll Need To Succeed

• Proficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights.
• Experience with data analysis, data modeling and visualization tools (SQL, DBT, Excel, Tableau, or similar software). Expertise in creating advanced data visualizations that effectively communicate complex insights to a broad audience, including dashboards and interactive reports.
• Capacity to identify issues, analyze root causes, and develop effective solutions. Ability to approach problems methodically and think critically. Meticulous in analyzing data and ensuring accuracy. Ability to validate findings thoroughly and maintain high standards in data integrity and reporting.
• Ability to convey complex data insights clearly and effectively to non-technical stakeholders. Strong written and verbal communication skills for reporting and presentations.
• Experience working in cross-functional teams, including product managers, engineers, and designers. Ability to build relationships and influence stakeholders at all levels of the organization.
• Strong organizational skills and the ability to manage multiple projects simultaneously. Experience with project management tools and methodologies.
• Understanding of business strategy and how data-driven insights can support and enhance product and business goals. Ability to align data analysis with business objectives.
• You’ll need to have a prior experience as a data analyst and to hold a business or engineering degree.
  
  

What Makes You Stand Out

• You have a prior experience using Contentsquare platform.
• Understanding of machine learning concepts and experience with implementing predictive models to forecast product performance and user behavior.
• Previous experience in product management or working closely with product leaders to understand the full product lifecycle and strategic considerations.
• Experience in the specific industry relevant to the company’s products, providing contextual understanding that can enhance the analysis and recommendations.
  
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.