Ofertas de empleo para machine-learning

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

Teletrabajo . Cloud Coumputing Machine Learning Office

Ubicación:

Madrid, ES, 28046

Fecha de publicación: 7 nov 2025

¿Te defines por tu talento y tu visión?

Entonces, tú también puedes marcar la diferencia. Únete a un entorno profesional que contribuye a la transformación de empresas y sociedad. Alcanza tus metas, supera tus límites y únete a una firma que va más allá de los servicios profesionales.

Porque marcar la diferencia no es solo algo que decimos. Es lo que hacemos.

Desarrolla tu carrera con nosotros.

Desde el equipo de LIGHTHOUSE, nuestro centro de excelencia de Data & Analytics, Inteligencia Artificial & Tecnologías Emergentes, ayudamos a nuestros clientes a encontrar la eficiencia y el alto rendimiento en todas sus funciones TIC, tanto internas como externas hacia sus unidades de negocio y proveedores: buscando la máxima eficiencia en la operación de sus servicios y ajustando sus costes; así como incrementando su trascendencia en la cuenta de resultados y facilitando la innovación.

Actualmente nos encontramos en búsqueda de un/a Manager de Estrategia de Inteligencia Artificial, quien será responsable de definir, coordinar y acelerar la implantación de la estrategia de IA en los clientes.

Su rol consistirá en integrar tecnología con visión de negocio, liderando la definición de la estrategia de IA, la priorización de casos de uso, el diseño del modelo operativo y de gobierno, asi como el análisis del impacto generado.

Será un referente para las organizaciones en la creación y madurez de oficinas de IA (AI Office) y en el desarrollo de agentes y sistemas inteligentes que escalen la adopción de la IA de forma segura, responsable y eficiente.

¿Qué podrás hacer?

      

•      Definirás estrategias de IA alineadas con los objetivos de negocio y las capacidades tecnológicas del cliente.
  
  

      

•      Diseñarás modelos operativos de IA, incluyendo estructura organizativa, roles, procesos y mecanismos de decisión.
  
  

      

•      Liderarás el diseño e implantación de oficinas de IA (AI Office) y sus funciones: estrategia, gobierno, priorización, desarrollo, ética, cumplimiento...
  
  

      

•      Dirigirás proyectos de transformación de IA , automatización y agentes IA, asegurando la coherencia entre negocio, datos y tecnología.
  
  

      

•      Impulsarás el marco de gobierno de IA, definiendo políticas, responsabilidades, principios éticos, trazabilidad y mecanismos de control.
  
  

      

•      Realizarás el análisis y seguimiento del rendimiento de los modelos de IA, incluyendo KPIs técnicos, de negocio y de adopción.
  
  

      

•      Identificará y priorizará casos de uso de IA, elaborando business cases, análisis de viabilidad y modelos de retorno de inversión.
  
  

      

•      Coordinarás equipos multidisciplinares (estrategia, data science, legal, riesgo, tecnología, operaciones), garantizando entregables consistentes y de calidad.
  
  

      

•      Contribuirás al desarrollo de frameworks, metodologías y activos propios en el ámbito de estrategia y gobierno de IA.
  
  

      

•      Acompañarás al cliente en la creación de capacidades internas, fomentando una cultura de IA responsable, formación y gestión del cambio.
  
  

      

•      Analizarás y harás seguimiento de tendencias tecnológicas y regulatorias, anticipando oportunidades y riesgos emergentes.
  
  

      

•      Apoyarás la actividad comercial, participando en propuestas, workshops y sesiones con alta dirección.
  
  

¿Qué necesitas saber?

Formación académica (obligatoria):

      

•      Titulación universitaria STEM: Ingeniería, Matemáticas, Física, Estadística, Informática o similares.
  
  

      

•      Valorable máster en Inteligencia Artificial, Ciencia de Datos o MBA complementario.
  
  

Experiencia profesional:

      

•      6–10 años de experiencia total, con al menos 3–5 años liderando proyectos de IA en consultoría estratégica o tecnológica.
  
  

      

•      Experiencia demostrada en definición de estrategias de IA, modelos de gobierno y diseño de oficinas de IA (AI Office).
  
  

      

•      Participación previa en proyectos de IA generativa, machine learning, automatización o agentes de IA, con impacto directo en negocio.
  
  

      

•      Capacidad probada para asesorar a dirección general y C-level, gestionar equipos multidisciplinares y entornos de alta complejidad.
  
  

Conocimientos y habilidades:

      

•      Dominio del ecosistema de IA: modelos fundacionales, agentes autónomos, IA generativa, automatización inteligente y plataformas cloud.
  
  

      

•      Conocimiento básico de principios y estándares de IA responsable (RGPD, RIA, ISO 42001, NIST AI RMF).
  
  

      

•      Conocimiento profundo de modelos de gobierno y marcos de gestión de riesgo de IA.
  
  

      

•      Capacidad analítica y estratégica para traducir capacidades técnicas en impacto medible.
  
  

      

•      Habilidades de comunicación en entornos directivos.
  
  

      

•      Inglés avanzado (mínimo C1) y capacidad para trabajar con equipos y clientes internacionales.
  
  

Ubicación: Madrid

Modelo de trabajo: híbrido

¿Qué valor añadido te podemos aportar?

• Un gran ambiente de trabajo, tanto dentro como fuera de la oficina
• Oportunidades internacionales y red de contactos global
• Formacióncontinuay plan de carrera a tu medida
• Salario competitivo y plan de remuneración flexible
• 31 días laborables de vacaciones
• La tarde de tu cumpleaños libre
• Flexibilidad y posibilidad de teletrabajo
• Acceso a Kteam, nuestra plataforma de bienestar, servicios, solidaridad y promociones
• Los beneficios pueden variar para programas de becas y/o prácticas
  
  

Nuestro compromiso en KPMG es promover ambientes de trabajo en los que se trate con respeto y dignidad a las personas, garantizando la igualdad de oportunidades en su selección, formación y promoción ofreciendo un entorno de trabajo libre de cualquier discriminación por motivo de género, edad, discapacidad, orientación sexual, identidad o expresión de género, religión, etnia, estado civil o cualquier otra circunstancia personal o social. Y es que cada persona tiene un valor único y especial que aportar a la firma.

Nuestros valores marcan la diferencia. Marca la diferencia, impulsa tu talento.

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

. Python R Machine Learning

Company Description

The Image and Signal Processing (ISP) group focuses on developing advanced artificial intelligence (AI) methods to analyze and understand complex systems like the visual brain, Earth and climate systems, and human interactions. By integrating statistical learning theories with knowledge of physics, biological vision, and specific system processes, the group addresses interdisciplinary challenges. These challenges often involve mathematical approaches such as model inversion, uncertainty estimation, and causal inference.

Role Description

This is a full-time, on-site role for a Non-Doctor Researcher located in Paterna. The selected candidate will work in developing and applying AI-driven solutions to analyze the Earth system. Tasks include data analysis, conducting research, testing algorithms, preparing reports, and collaborating with interdisciplinary teams to solve real-world problems related to visual processing, environmental systems, and human interactions.

Qualifications

• Strong foundation in Statistical Learning, Machine Learning, and AI development
• Proficiency in Data Analysis, Programming, and Algorithm Development
• Experience with Model Inversion, Uncertainty Estimation, and Causal Inference
• Foundation Models, Deep Learning, Geometric DL
• Optimal transport
• Excellent research, analytical thinking, and problem-solving skills
• Experience in interdisciplinary collaboration and knowledge of physics or climate systems is a plus
• Master’s degree in Computer Science, Mathematics, Physics, or a related field is required
• Working knowledge of programming languages such as Python, R, Julia
• Excellent communication skills to articulate research findings and collaborate effectively

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

. Javascript Java Python CSS C++ IoT Machine Learning

Elisava ofrece una plaza de profesor/a lector (de universidad privada) para las áreas de Gestión y Datos del Grado Universitario en Ingeniería de Diseño Industrial, preferiblemente a tiempo completo.

Estamos buscando personas que vean la tecnología de manera creativa, que entiendan los conocimientos científicos como un medio y no como un fin. Personas que tengan conocimientos teóricos y aplicados relacionados con la electrónica, mecatrónica, programación, IoT y robótica, y puedan desarrollar su actividad docente e investigadora en estas áreas.

Requisitos

Tener el título de doctor en ingeniería o en un ámbito comparable y estar acreditado por la AQU o ANECA.

Se valorará muy positivamente la trayectoria científica desarrollada, la motivación de dar clase en entornos creativos, la capacidad de trabajar en proyectos con empresas, experiencia internacional y la voluntad de trabajar en equipo y crear nuevas colaboraciones.

Condiciones Del Contrato

Jornada completa

Docencia en aula: 420 horas

Proyectos/encargos: 120 horas

Resto de horas: investigación, preparación de clases, formación, etc.

Información De Cómo Aplicar

Carta de presentación incluyendo vuestros intereses en investigación y educación

Currículum Vitae con listado de proyectos y publicaciones (puede ser el de AQU o ANECA)

Enviarlo a ******

El Área De Gestión y Datos Se Centra En Innovar En El Uso De Los Productos y Los Modelos De Negocio Asociados. Es La Mención Donde El Estudiante Aprende a Trabajar Con Datos, Crear Instalaciones Interactivas, Diseñar Aplicaciones o Revolucionar La Producción Digital Mediante La Industria 4.0. Asignaturas Que Forman Parte Del Área Son Las Siguientes

Fundamentos de programación (JAVA)

Tecnología Eléctrica y Electrónica (Arduino)

Interacción y Tecnología (UNITY)

Mecatrónica y Robótica

Fabricación y Sistemas Inteligentes

Ecosistemas Conectados

Desde El Grado Universitario De Diseño En Innovación y Para La Mención De Experiencias Interactivas Necesitamos Un Perfil Que Domine

Htlm, css y javascript

P5.js implementada en Java Script

Processing

Python

Arduino y C++ (Physical computing) Elaboración de piezas y objetos interactivos

Machine Learning y Natural Language Processing

Sobre ELISAVA

Elisava es la primera Escuela de Diseño fundada en España, en el año ****, por un grupo de profesionales e intelectuales de la cultura (teóricos, arquitectos y diseñadores) comprometidos con el cambio social y cultural. Una Escuela en la que cuestionar ideas preestablecidas, en la que potenciar todas las capacidades, en la que experimentar nuevas vías, en la que conectar con el ámbito profesional y en la que encontrar alternativas. Queremos construir un mundo mejor y, mediante el diseño y la ingeniería, podemos ayudar a transformarlo. Una Escuela caracterizada por una excelente calidad académica. Un lugar de referencia donde la creatividad y la tecnología se sienten y se transmiten. Desde hace 60 años apostamos por una línea de formación e investigación abierta, flexible y pluridisciplinar, orientada al mundo profesional. Situados en un campus urbano en el centro de Barcelona, generamos impacto directo en la ciudad y estamos muy implicados en su vida cultural.

Elisava actúa como nexo de conexiones entre sociedad, empresas, estudios de diseño, instituciones, exalumnos y universidades de todo el mundo. Así, facilita al alumno el contacto con una gran constelación de proyectos, para no solo formarlos en la excelencia académica, sino para que conozcan el contexto y las dinámicas profesionales. Elisava es la fuerza de su alumnado, más de ****** estudiantes de todo el mundo han dejado y dejan su huella en la Escuela y hoy trabajan como diseñadores e ingenieros de diseño industrial para resolver los retos del futuro y generar nuevos escenarios en el mundo. Elisava es la Facultad de Diseño e Ingeniería de la Universitat de Vic - Universitat Central de Catalunya. Imparte dos grados, el Grado Universitario en Diseño e Innovación y el Grado Universitario en Ingeniería de Diseño Industrial, Másters y Postgrados Pro, Másters Beyond, Másters Executive y el Máster Universitario en Diseño y Comunicación.

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

. Machine Learning

Biological sciences » Biological engineering

Engineering » Chemical engineering

Organisation/Company CSIC Research Field Biological sciences » Biological engineering Engineering » Chemical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 31 Mar *********:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jun **** Is the job funded through the EU Research Framework Programme?

Horizon Europe - MSCA Marie Curie Grant Agreement Number ********* Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Objectives

Improve the biomanufacturing efficiency through a combination of advanced computational and experimental techniques (in model organisms such as P. pastoris and C. necator), along with AI-driven tools for bio-retrosynthesis-based metabolic pathway design, enzyme design and optimization, and DNA part selection.

Knowledge-graph-based combinatorial experiment designs are used to span multiple scales, while Multiobjective optimization strategies ensure improvements in efficiency across various biomanufacturing scales.

Expected Results

Development of innovative bio-based production methods tailored to meet specific target property requirements.

These methods will leverage new-to-nature metabolic pathways, ensuring the efficient production of food ingredients and proteins.

A multi-scale strategy will be implemented to design and optimise these metabolic pathways, integrating insights from various biological scales.

Where to apply

E-mail ******

Requirements

Research Field Technology » Biotechnology Education Level Master Degree or equivalent

Research Field Biological sciences » Biological engineering Education Level Master Degree or equivalent

Research Field Engineering » Chemical engineering Education Level Master Degree or equivalent

Skills/Qualifications

Candidates should hold a degree in biotechnology, synthetic biology, systems biology, applied mathematics (or a related subject area), be interested in biomanufacturing in biofoundries, and have technical skills in computer programming and basic knowledge of mathematical models for systems and/or synthetic biology.

A secondment at the Technical University of Berlin, Germany, lasting a total of six months, is an integral part of the PhD program.

Languages ENGLISH Level Good

Additional Information

A comprehensive, interactive and international training programme covering the broader aspects and interface between life science, data science, artificial intelligence and humanities and social sciences, as well as transferable skills

An enthusiastic team of professionals to co-operate with

Personal Career Development Plan (PDCP) to prepare young researchers for their future careers

Each DC will undergo individual training at individual institutes according to the PCDP description

An attractive compensation package in accordance with the MSCA-DN programme regulations for doctoral candidates.

The exact salary will be confirmed and will be based on a living allowance of ****€/month (correction factor to be applied per country) + mobility allowance of 600€/month.

Additionally, researchers may also qualify for a family allowance of 660€/month, depending on the family situation.

Taxation and social (including pension) contribution deductions based on national and company regulations will apply.

Eligibility criteria

Any nationality

Doctoral Candidate (DC): The applicant must not have been awarded a doctoral degree.

Mobility rule: The DC must not have resided or carried out main activity (work, studies, etc.) in the country of their host organisation for more than 12 months* in the three years immediately prior to the date of selection in the same appointing international organisation.

• EXCLUDED: short stays such as holidays, compulsory national services such as mandatory military service and procedures for obtaining refugee status under the General Convention.
  
  

Language: Applicants must demonstrate fluent reading, writing and speaking abilities in English (B2).

Selection process

FrameBio (Multiscale Frameworks for BioSolutions) is a project funded by the European Union with a goal is to revolutionise biotechnology by developing comprehensive computational modules that simulate the microbial behaviour of bioproducts and quantify/estimate their resource dependencies across various scales.

This PhD position is part of a unique multidisciplinary Doctoral Network (15 partners and 10 countries) that will collaborate and train 13 PhDs in genomics, metabolomics, fermentation, process optimisation, data science, and sustainability assessments.

This project has received funding from the Horizon Europe, Marie Sklodowska-Curie Actions (MSCA) grant (Grant agreement ID: *********, ).

Additional comments

Supervisors team

The

Dynamics Biodesign Lab (DBDL)

, led by Dr.

Pablo Carbonell

, creates innovative solutions for automated biofoundries, fostering sustainable industrial biotechnology across the bio-economy sectors.

The lab combines synthetic biology, machine learning and biosensor and pathway dynamic regulation design to produce next-generation bio-based chemicals.

The

Computational Synthetic Biology group (CSBG)

, led by Dr.

Irene Otero-Muras

, works on the design, analysis and control of biomolecular networks: nonlinear, complex systems – sometimes subject to significant molecular noise – with relevance in cell regulation, signalling and metabolic processes.

The research aims to advance fundamental understanding and address innovative applications for systems and synthetic biology.

The

Biotechnology of Industrial Yeasts Laboratory

of I2SysBio, led by Dr.

Agustín Aranda

, deals with the use of different species of yeast of biotechnological interest, mainly Saccharomyces cerevisiae during winemaking.

We are focused on regulatory systems as stress response (mainly oxidative) and nutrient signalling pathways, and we use genetic manipulation to characterise such mechanisms in conditions that mimic industrial environments.

The

Spanish National Research Council (CSIC)

is the largest public research organisation in Spain and one of the most important in the European Research Area (ERA).

It is the main player in the Spanish Science, Technology, and Innovation System and is currently made up of over 13,200 people.

These individuals are distributed between the CSIC Corporate Organisation, 121 research institutes, and three national centres located throughout Spain, as well as an institute in Rome.

The CSIC conducts research in three core areas: Society, Life, and Material, which cover most academic disciplines.

In March ****, the CSIC was among the institutions awarded the 'HR Excellence in Research Award'.

The DC will be enrolled in the "Institute for Integrative Systems Biology .

The DC will be enrolled in the Science and Technology Programme, Biosciences area, offered by the Menendez Pelayo International University.

#J-*****-Ljbffr

• Nivel de experiencia---
• Tipo de contratoConsultor
• Publicada20 dic.

Teletrabajo . API Python Linux Docker PowerShell Bash Machine Learning

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

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

What We Do

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

About The Role

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

Although every project is unique, you might typically:

• Evaluate and red team AI models and agents and machine learning systems for vulnerabilities and safety risks.
• Create offline reproducible & auto-evaluable test cases to test safety & capability of AI agents.
• Develop and implement automation scripts, custom tools, environments and test harnesses.
• Lead or contribute to security research initiatives, especially in AI safety, creating and implementing realistic and challenging attack scenarios for the model.
• Advise on cybersecurity best practices and policy implications
  
  

How To Get Started

Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone.

Requirements

• You hold a Bachelor's or Master's Degree in Computer Science, Software Engineering, Cybersecurity, Digital Forensics or other related fields.
• Your level of English is advanced (C1) or above
• Proficient in scripting and automation using Python, Bash, or PowerShell
• Experienced with containerization and CI/CD security tools, especially Docker.
• Hands-on experience with penetration testing across web, API, network, and infrastructure environments.
• Knowledge of vulnerabilities in current AI models, including prompt injections, with knowledge of OWASP Top 10 for Large Language Models (LLMs)
• Familiar with AI red-teaming frameworks such as garak or PyRIT.
• Experience in AI/ML security, evaluation, and red teaming, particularly with LLMs, AI agents, and RAG pipelines.
• Proficient in offensive exploitation and exploit development
• Skilled in reverse engineering using tools like Ghidra or equivalents.
• Expertise in network and application security, including web application security.
• Knowledge of operating system security concepts such as Linux privilege escalation and Windows internals.
• Familiar with secure coding practices for full-stack development.
• You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines
• Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge
  
  

Benefits

Why this freelance opportunity might be a great fit for you?

• Get paid for your expertise, with rates that can go up to $30/hour depending on your skills, experience, and project needs
• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments
• Work on advanced AI projects and gain valuable experience that enhances your portfolio
• Influence how future AI models understand and communicate in your field of expertise

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada20 dic.

. Python Azure Cloud Coumputing R Machine Learning Office

Data Scientist Manager:

About the Role:

We are seeking a Data Scientist Manager to join our team and drive impactful AI initiatives. In this hands-on role, you will support the Lead Data Scientist in delivering advanced AI explorations identified through our AI Incubator process. Your expertise in Bayesian techniques, machine learning, and commercial data science models will help shape data-driven decisions that influence business outcomes.

What you will be doing:

• Develop and implement commercial data science solutions using Bayesian methodologies.
• Collaborate with business stakeholders to align AI initiatives with strategic objectives.
• Build and optimize market mix models and similar solutions to inform decision-making.
• Provide actionable insights and recommendations based on statistical analysis and machine learning.
• Stay current with advancements in Bayesian modelling and its commercial applications.
  
  

Qualifications Required:

• Master’s degree in Statistics, Data Science, or a related field.
• Strong expertise in Bayesian modelling and statistical techniques.
• Proficiency in R, Python, and cloud platforms (e.g., Databricks, Azure).
• Experience in developing market mix models and other commercial data science applications.
• Excellent communication skills to convey technical insights to stakeholders.
  
  

Why Join Us?

• Opportunity to work on cutting-edge AI projects.
• Hybrid working model with a minimum of 3 days per week in the office.
• Collaborative and innovative environment.
  
  

Apply Now

If you’re passionate about leveraging data science to drive business impact, we’d love to hear from you! Submit your application today.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada20 dic.

. Python Azure Cloud Coumputing R Machine Learning Office

Data Scientist Manager:

About the Role:

We are seeking a Data Scientist Manager to join our team and drive impactful AI initiatives. In this hands-on role, you will support the Lead Data Scientist in delivering advanced AI explorations identified through our AI Incubator process. Your expertise in Bayesian techniques, machine learning, and commercial data science models will help shape data-driven decisions that influence business outcomes.

What you will be doing:

• Develop and implement commercial data science solutions using Bayesian methodologies.
• Collaborate with business stakeholders to align AI initiatives with strategic objectives.
• Build and optimize market mix models and similar solutions to inform decision-making.
• Provide actionable insights and recommendations based on statistical analysis and machine learning.
• Stay current with advancements in Bayesian modelling and its commercial applications.
  
  

Qualifications Required:

• Master’s degree in Statistics, Data Science, or a related field.
• Strong expertise in Bayesian modelling and statistical techniques.
• Proficiency in R, Python, and cloud platforms (e.g., Databricks, Azure).
• Experience in developing market mix models and other commercial data science applications.
• Excellent communication skills to convey technical insights to stakeholders.
  
  

Why Join Us?

• Opportunity to work on cutting-edge AI projects.
• Hybrid working model with a minimum of 3 days per week in the office.
• Collaborative and innovative environment.
  
  

Apply Now

If you’re passionate about leveraging data science to drive business impact, we’d love to hear from you! Submit your application today.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada20 dic.

. Agile Scrum Cloud Coumputing Machine Learning

Title: AI Project & Product Manager

Client: Chemical Industry

Location: Barcelona

About Us

At Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof.

With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data. We are currently leading a major transformation for a client in the chemical sector - and we're looking for exceptional talent to help drive this impact.

This position is to integrate our client team (directly employed by the client), a leading firm in the Chemical sector. This is a unique opportunity to drive a major AI transformation at a strategic level, shaping the future of the organization and creating tangible business impact. You will work with senior leaders, cutting-edge technologies, and a highly motivated team to deliver AI-driven innovation.

Ready to be part of it?

Role

As part of the Digital Transformation Program and in close collaboration with the IT Department, you will play a pivotal role in shaping, managing, and delivering strategic projects that integrate Artificial Intelligence (AI) and Machine Learning (ML). You will lead projects end-to-end, from ideation to deployment, while ensuring adoption across business functions. Acting at the intersection of technology, business, and innovation, you will drive AI initiatives that create tangible business impact.

Project Management

• Lead and manage AI/ML projects from initiation through delivery, ensuring alignment with business objectives, timelines, and budgets
• Develop and maintain detailed project plans, including scope, milestones, resources, and risk mitigation strategies
• Coordinate cross-functional teams (data scientists, data engineers, IT stakeholders, business stakeholders, external partners) to ensure seamless execution
• Supervise project phases: scoping, prototyping, development, testing, deployment, and scaling
• Regularly communicate progress, results, and impact to stakeholders, including senior leadership
  
  

Product Management

• Help to identify and prioritize AI/ML use cases with the highest value for business functions
• Gather, document, and refine requirements, translating them into actionable user stories and specifications
• Collaborate with technical teams to deliver robust, scalable, and user-centric solutions
• Facilitate workshops and collaborative sessions to align strategic goals with operational needs
  
  

Change Management & Adoption

• Ensure adoption of AI/ML solutions across business teams, ensuring integration into daily workflows
• Design and deliver training programs, workshops, and enablement materials to build user capabilities
• Act as a change agent, facilitating the cultural shift toward data-driven and AI-powered ways of working
• Measure adoption, monitor impact, and continuously optimize AI/ML solutions for long-term success
  
  

Innovation & Continuous Improvement

• Monitor and evaluate emerging AI/ML trends, tools, and best practices
• Propose and implement innovative approaches to optimize business processes and decision-making
• Foster a culture of experimentation, learning, and continuous improvement within the digital transformation program
  
  

Requirements

This should be part of your background in order to apply:

• Master's degree in Project Management, Data Science or Digital Transformation
• Proven track record in digital transformation and project management, ideally with hands-on experience in AI/ML deployment
• Strong understanding of AI/ML concepts
• Experience in product management, from strategy definition to delivery
• Demonstrated success in leading change management and driving adoption of emerging technologies
• Proficiency in project management methodologies (Agile, Scrum, PMP certification is a plus)
• Ability to explain complex technical concepts in simple terms to non-technical audiences
• Strong appetite for innovation, emerging technologies, and cross-functional teamwork
• Fluent in English, proficiency in French is a plus

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada20 dic.

Python Agile Azure Jenkins Docker Cloud Coumputing Kubernetes Microservices AWS Bash DevOps Terraform Machine Learning

DevOps Engineer - Open Digital Services (ODS)

Country: Spain

Open Digital Services is the software development company of Santander Group powering the next generation of banks by creating innovative banking products and implementing them in collaboration with Santander Group Affiliates.

Santander Group is one of the world´s largest financial institutions and the Eurozone´s leader, we´re committed to being the best Digital Bank with Branches in the industry.

Our mission at ODS is to design and support an advanced digital and omnichannel platform, ensuring the best customer experience using cutting-edge technology. Openbank, our flagship partner, is where we develop our most advanced concepts first. Be part of our Best-in-Class team and help us create unique value for our customers!

Join us to tackle exciting tech challenges in an agile environment, benefiting from learning, growth, and local and international career opportunities in a modern, diverse setting.

As a DevOps Engineer in the AI Tech Team, you will play a key role in enabling the design, development, and deployment of scalable and resilient AI solutions. Your mission will be to build and maintain the infrastructure and automation pipelines that support the entire AI lifecycle-from experimentation to production-ensuring agility, security, and operational excellence.

You will work in close collaboration with AI Experts, Data Scientists, ML Engineers, and enterprise technology partners to accelerate the delivery of AI products that drive business value across Santander. This is a critical role in the AI transformation agenda, empowering the team to deliver responsible AI at scale.

Key Responsibilities:
- Design, implement, and manage robust CI/CD pipelines for AI/ML models and GenAI applications
- Build and maintain cloud-native infrastructure (AWS, Azure, or GCP) to support the full AI lifecycle: from data ingestion and model training to production deployment and monitoring
- Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi
- Ensure scalability, reliability, and high availability of AI services in production environments
- Implement and enforce best practices in MLOps, including model versioning, monitoring, rollback, and automated testing
- Collaborate with data engineering and ML teams to operationalize AI models and integrate them into business-critical systems
- Monitor system performance, debug issues, and lead root-cause analysis and resolution of incidents
- Champion security, compliance, and governance standards across the AI tech stack
- Contribute to the continuous improvement of DevOps capabilities and tooling within the AI Tech Team
- Act as a technical advisor in DevOps and MLOps practices, fostering a culture of automation and engineering excellence

Required Experience:
- 5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering roles
- Proven experience supporting ML/AI workloads in production environments
- Hands-on experience with containerization (Docker, Kubernetes) and orchestration of microservices
- Strong background in managing cloud environments (AWS, Azure, or GCP), including cost optimization and security best practices
- Solid experience implementing CI/CD pipelines and using tools such as Jenkins, GitHub Actions, GitLab CI, or similar
- Familiarity with machine learning workflows, model deployment patterns, and MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)

Education:
- BSc or MSc in Computer Science, Engineering, or a related technical field
- Relevant certifications in cloud platforms or DevOps practices (e.g., AWS DevOps Engineer, Azure DevOps, Google Cloud DevOps) are a plus

Skills & Competencies:
- Strong scripting and automation skills (e.g., Python, Bash, Go)
- Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack, Datadog)
- Deep understanding of CI/CD and infrastructure automation principles
- Knowledge of security and compliance in cloud-based and AI-driven systems
- Experience working in agile, cross-functional teams focused on rapid delivery and continuous improvement
- Ability to translate operational needs into scalable and maintainable solutions
- Strong problem-solving skills, ownership mindset, and a proactive attitude
- Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders

What do we offer?
- Immediate incorporation to a dynamic and agile company with a growth and expansion project.
- Working in start-up mode with the support of Grupo Santander.
- Competitive remuneration and attractive benefits package.
- Possibility of growth within the company and the Group.
- Collaboration in international projects and possibility of contact with different countries.
- Excellent work environment, social clubs and frequent events.

Would you like to grow with us? Join our team!