Ofertas de empleo para machine-learning

• Nivel de experiencia---
• Tipo de contratoTemporal
• Publicada23 abr.

. IoT Machine Learning

Who We Are:

Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.

Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.

Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news.

Who You Are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Marketing Intern who will work closely with the EMEA Marketing team to collaborate on, develop, and execute strategies that directly impact how our brand and partners interact with the market. If you are a bright, highly organized communicator who loves technology and is keen to join an industry leader—we would love to hear from you!

What You'll Do:

As a Marketing Intern, your key area of responsibility will be collaborating with the regional marketing team and external agencies to support business growth across events, content, digital, and PR. Your day-to-day may include: developing content briefs, managing data for lead capture, auditing databases for accuracy, and assisting with the scheduling and analysis of social media and email marketing campaigns. You will work closely with the Sales team to improve the digital presence of our Partners through co-marketing programs while maintaining internal documentation and the departmental Wiki. To be successful in this role, you will need to be a motivated individual with excellent French and English communication skills and the ability to quickly understand complex, technical concepts. In addition, the successful candidate will be a proactive problem-solver with strong Google Suite skills, capable of managing multiple projects and priorities to ensure timely, high-impact results.

The Opportunity:

• 12-month work-term beginning May 2026.
• Full-time, paid internship: Monday - Friday.
• This posting is for an existing vacancy.
  
  

How You'll Make An Impact:

• Content review and brief development.
• Event administration: assist with general event tasks as required, including managing data for leads captured.
• Data administration: audit database for accuracy, and liaise with internal teams to ensure data is kept accurate.
• Email marketing: assist with collecting content contributions, proofreading and testing.
• Process workflows: assist with internal processes to raise brand and creative requests and approvals.
• Maintain all internal and external documents and marketing materials.
• Explore new ways to improve existing processes such as document control, and internal communications.
• Internal communications: coordinate and amplify internal announcements.
• Social media: assist with scheduling and editing content.
• Analyze campaign performance.
• Support the Marketing activities for the Sales team to ensure Partners improve their social/digital presence (co-marketing programme).
• Collaborate with internal departments and external support agencies to develop and successfully execute segment activity including global advertising planning (media, creative and content), PR, product launches, events, and reseller/channel campaigns and programs.
• Responsible for the contribution and maintenance of the departmental WIKI.
  
  

What You'll Bring To The Role:

• Marketing, Journalism, Media, Communications, Business or other relevant degree.
• Excellent French and English oral and written communication skills and interpersonal skills (any other language will be considered a plus).
• Strong business writing skills and communication skills.
• Proven ability to analyze different data sets and develop insights from this data.
• Must be highly organized, task-oriented, and have a strong ability to self-manage.
• Must be interested and willing to learn about Geotab technology.
• Good knowledge of digital marketing.
• Technical competence using software programs, including, but not limited to, Google Suite for business (Sheets, Docs, Slides).
• A strong team player with the ability to engage with all levels of the organization.
• Proactivity in taking initiative and problem-solving.
  
  

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.

Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.:

How We Work:

At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!

We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at [email protected]. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada23 abr.

Teletrabajo . TSQL Cloud Coumputing IoT PostgreSQL Spark Big Data Machine Learning Tableau

Enviar candidatura ahora »

Fecha: 22 abr 2026

Ubicación: MADRID, ES

Empresa: Telefónica

¿QUÉ ES TELEFONICA TECH?

Telefónica Tech es la compañía líder en trasformación digital del Grupo Telefónica. Contamos con una amplia oferta de servicios y soluciones tecnológicas integradas de Ciberseguridad, Cloud, IoT, Big Data, Inteligencia Artificial y Blockchain, con la que acompañamos a nuestros clientes en su transformación digital.

Somos un grupo de más de 6200 personas valientes que trabajamos a diario desde distintos puntos del mundo para alcanzar la excelencia, a través de un liderazgo basado en la transparencia y en el espírItu de equipo. Si te identificas con nuestros pilares, ¡estamos deseando conocerte!

www.telefonicatech.com

¿Te gustaría formar parte del mundo Tech? ¡Te estamos esperando!

¿Eres estudiante del último curso de Universidad o has finalizado en los últimos años (entre el 2024 y el 2025) el Grado o Máster Universitario?

Súmate a nuestro equipo y crece con nosotros/as. Buscamos personas curiosas, con ganas de aprender, actitud proactiva y mentalidad innovadora, que cuestionen lo establecido y quieran formar parte del cambio. ¡Construyamos juntos lo que viene!

Valoraremos que estés en los últimos cursos o hayas finalizado estudios en áreas tecnológicas como Informática, Telecomunicaciones, Estadística o Matemáticas. También se tendrá especialmente en cuenta formación adicional como másteres o posgrados en Big Data o Inteligencia Artificial.

Te incorporarás al equipo de Smart Steps, el producto Big Data de Telefónica, dentro del área de Data Solutions. Trabajarás en el equipo de Producto, enfocado en la explotación de datos y generación de insights de valor, colaborando en la mejora de algoritmos, integración de APIs y análisis de datos.

Buscamos un perfil con ganas de aprender en un entorno tecnológico, con capacidad para trabajar en equipo, proactividad y habilidades para comprender algoritmos complejos y resolver problemas.

Se valorará destreza en tecnologías como Spark, PySpark, SQL (PostgreSQL) y herramientas de visualización geográfica como QGIS, así como conocimientos en Machine Learning, bases de datos (Presto) y herramientas de visualización como Tableau.

¿Qué te ofrecemos?

• Una beca remunerada de 25 horas semanales (850€ brutos / mes)
• Ubicación: Valladolid
• Durante de 6 meses, prorrogable a 6 meses más
• Durante todo este tiempo, un tutor personal te ayudará y apoyará en tu día a día. Tendrás la oportunidad de aprender dentro de una gran multinacional, participando en proyectos reales para que desde el primer momento estés formándote y sacando partido a tus conocimientos.
  
  

Si estás interesado/a y tienes disponibilidad, aplica!

Cuando la beca acabe, en caso de que tengamos oportunidad de incorporar, queremos haberte despertado la ilusión de continuar con nosotros/as.

¡Te estamos esperando! ¿Te unes a nuestro gran equipo? 😊

Por si quieres saber algo más sobre nosotros/as, te comparto:

• Nuestra web: https://telefonicatech.com/
• Linkedin: TelefónicaTech
• Instagram: @telefonicatech
  
  

¿QUÉ MÁS APORTAMOS?

• Medidas de conciliación y flexibilidad horaria.
• Formación continua y certificaciones.
• Modelo híbrido de teletrabajo.
• Atractivo paquete de beneficios sociales.
• Excelente ambiente de trabajo dinámico y multidisciplinar.
• Programas de voluntariado.
  
  

#SomosDiversos #Fomentamosigualdad

Estamos convencidos/as de que los equipos diversos e inclusivos son más innovadores, transformadores y consiguen mejores resultados.

Por ello promovemos y garantizamos la inclusión de todas las personas sin importar género, edad, orientación e identidad sexual, cultura, discapacidad o cualquier otra condición

¡Queremos conocerte! 😊

Enviar candidatura ahora »

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada23 abr.

Teletrabajo . Python Agile TSQL Hadoop OCR Spark Big Data Machine Learning Office

Job Description

At ING we are looking for Senior Data Scientist

Your role and work environment:

We are looking for a talented and enthusiastic Senior Data Scientist to join our Advanced Analytics Team of Growth

The responsibility of this team is to develop all type of AI models and analytical products in the field of Machine Learning and Big Data context. Our way of working mirrors our eagerness to innovate and the agile methodologies are on our daily basis

Your key responsibilities:

As a data scientist you will:

Proactively take end-to-end ownership of the design and delivery of ML products across multiple departments within the bank. This includes a broad range of AI/ML solutions such as credit risk and decision-making models, churn prediction, recommendation systems, NLP solutions, income and expense estimation, data categorisation, clustering and segmentation, pricing models, OCR, and more.

You will co-create and evaluate business solutions using the best predictive approaches, working in cross-functional and international teams made up of business stakeholders, data analysts, data scientists and engineers.

You will also act as project manager making sure each solution meets business requirements, delivers tangible value to our clients, and adheres to our high standards of coding quality, robustness and engineering excellence.

What are we looking for?

Want to know if this job is made for you? These are some of the qualities that we value the most for this role. And if the shoe fits… don’t hesitate to apply!

We are seeking a passionate and highly skilled Data Scientist used to work near to business, understand the challenges and who proposes solutions proactively, defining the appropriate analytical solution for each challenge.

Our dreamed candidate will be:

- A value-driven professional, with a strong focus on delivering meaningful business impact.

- Holds a degree in Mathematics, Statistics, Computer Science, or a related field.

- Proven experience in data analysis, data visualisation and the development of predictive

models, particularly supervised learning models.

- Strong command of SQL and Python, along with experience in distributed computing

frameworks such as Spark, Hadoop, Hive, and similar technologies, as well as modern MLlibraries.

- Comfortable working with Git-based workflows, including code repositories and peer reviews.

- Able to communicate technical insights clearly and effectively, even to non-technical

stakeholders.

- A strong team player, with the ability to collaborate effectively and tackle complex challenges in a dynamic environment.

What do we offer?

The time you spend at work, the challenges you face or the lessons you get are very important, but… What about your personal life? At ING we want your work to fulfill you in every way, and that is why we take care of even the smallest details.

Check out what is waiting for you!

Be flexible my friend.

Our model is all about flexibility and accountability. Keeping both our customers and our colleagues’ needs in mind, you determine together which days you work at home and which you come to ING MAD to offer your best self. Do your thing.

Restaurant card.

So that thinking about what to have for lunch doesn’t take up your time or your cravings.

Our house will be your home.

In our offices you can find electric mobility solutions, doctor, hairdresser, gym, The Good Service (to help you with your errands) and much more!

Health insurance.

For you and all your family (spouse/partner and children).

Life insurance.

We help you protect what matters most to you.

Flexible remuneration.

In addition, you will enjoy our flexible remuneration model, through a more tax-advantaged way, you will be able to access other services such as nursery, transport card, training aids…

Free company shuttle.

It doesn't matter where you live. We have 6 routes (North, Central, South, A5, A42 and A6) to get you to our ING office in Madrid comfortably.

Banking benefits.

Special loans with more beneficial conditions.

Special mortgage conditions after 6 months working at the bank.

And you can benefit from our pension plan after 1 month with us!

More vitality and more belonging

360º care of the employee (physical, mental, social connection & purpose).

Physiotherapy service on site.

Clinics with professional, world-class athletes.

Gympass service.

Employee Networks: Rainbow Lions (LGBTQI+), Leonas & RIÑG.

International Remote work program.

Get to know Us

We are a team of more than 1800 people sharing one idea: doing our bit in helping our clients create a better future for themselves, by providing them with the tools they need to get where they want to go.

A fully online bank where technology, innovation, simplicity and transparency are the main ingredients, and the first one to work with agile methodologies.

And although we are based in Spain, we are lucky to work in an international bank with presence in more than 40 countries.

We are proud to have a diverse team, and we are committed to continue developing a culture of Diversity, Inclusion and Belonging to foster a culture of collaboration and innovation that represents all collectives in the society.

And even though we look orange on the outside, we are green on the inside. Our ambition in Sustainability is Empowering (y)our Sustainability journey. We are embarking on our path, for us, but we are also there for when our clients decide to embark on this journey.

Making things happen, helping others be successful, always being one step ahead—that’s our DNA. If you look at yourself in the mirror and your reflection matches our way of being and working…we are looking forward to meeting you!

At ING, you belong just as you are. We hire and support people for their talent and potential — and we know that when you can be yourself, you do your best work.

Job Application Safety Reminder

We’re seeing an increase in fraudulent job offers. To protect yourself, please follow these key guidelines when applying for roles at ING:

•Apply only via official ING platforms: ING uses Workday and LinkedIn as its internal recruitment system. Applications should be submitted only via our official career site or via ING job postings on LinkedIn.

•Check the sender’s email carefully: Legitimate communication will always come from @ing.com and/or @myworkday.com.

•No payments or banking details will ever be requested: If someone asks for this information, it’s a scam.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada23 abr.

. Python TSQL Git Machine Learning Office

Are you looking for a new challenge?

Fancy helping us shape the future of motor insurance?

Prima could be the place for you.

Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain.

To help fuel that growth, we need a Data Scientist to join our Pricing & Underwriting UK team, that is the strategic engine behind Prima's growth.

As part of this team, you’ll play a key role in shaping our business strategy and driving innovation. By combining advanced analytics and machine learning, you’ll help keep our pricing competitive and our risk under control. You’ll work at the intersection of data science and real-world impact, collaborating with cross-functional teams to turn insights into action.

Excited to make an impact? Here are the detalis

What You'll Do

• Translating business challenges into data problems and designing practical, data-driven solutions, from identifying pricing opportunities to improving how we assess risk;
• Building and adapting predictive models, from traditional statistical approaches to advanced machine learning, grounded in a strong understanding of their theoretical foundations and their application to insurance pricing;
• Delivering actionable solutions by translating modelling insights into production-ready tools and processes, working closely with experienced Machine Learning and Data Engineers, and leveraging cutting-edge technology and best practices.
  
  

What We're Looking For

• A strong academic background in Mathematics, Physics, Engineering, Statistics, or a related quantitative field;
• Exceptional quantitative, logical, and analytical abilities, with a knack for solving complex problems;
• A growth-oriented mindset, with a strong desire to learn quickly and develop expertise in data science, programming and business skills.
  
  

Nice-to-have

• Proficiency in programming, particularly with Python, and experienced in data querying and analysis, particularly with SQL;
• Familiarity with programming best practices, such as version control using Git and implementing unit tests;
• Experience in data science with machine learning algorithms and applying them in line with industry best practices.
  
  

Why You’ll Love It Here

We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks.

🤸Work Your Way: Enjoy hybrid working, with a mix of home and office days. Plus, for up to 30 days per year, work from anywhere.

🏁 Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.

🌈 Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.

Think you’re a match? Apply now.

At Prima, we celebrate uniqueness. If you don’t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives.

Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at [email protected]. Let’s build the future of insurance, together.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada23 abr.

. Python Agile TSQL Scrum Jira Machine Learning Tableau

Desde Selecta Digital buscamos un/a Product Owner especializado/a en Data & Analytics para incorporarse a un proyecto internacional dentro de un entorno tecnológico moderno y en constante evolución.

✅ ¿Qué harás?

Liderarás iniciativas estratégicas relacionadas con analítica avanzada y machine learning, garantizando la correcta definición, priorización y entrega de soluciones de datos en un entorno internacional, complejo y altamente colaborativo.

✔ Responsabilidades

• Gestionar el ciclo completo del producto: definición de épicas, historias y tareas alineadas con la visión y prioridades del negocio.
• Coordinar el backlog, priorizar entregas y planificar sprints junto al equipo de desarrollo y el/la Scrum Master.
• Asegurar la correcta ejecución de cada fase del desarrollo: planificación, construcción, pruebas (SIT y UAT) y despliegue.
• Colaborar con equipos de Data, BI y Machine Learning para transformar necesidades de negocio en soluciones analíticas escalables.
• Garantizar la calidad, integridad y seguridad de los datos en todas las iniciativas.
• Alinear cada solución con los objetivos estratégicos de la organización, asegurando impacto real en negocio.

✔ Requisitos

• Al menos 5 años de experiencia como Project Manager, Product Owner, Solution Owner o Product Manager.
• 2+ años de experiencia trabajando en entornos Agile / Scrum.
• 2+ años de experiencia en proyectos de Analytics o Machine Learning.
• Conocimientos en herramientas de análisis y datos: SQL, Python, Tableau, Redshift, Salesforce-Tableau CRM o Discovery.
• Experiencia con Jira y Confluence.
• Inglés fluido (indispensable).
• Certificación como Product Owner (deseable).

✨ ¿Qué ofrecemos?

Modalidad Híbrida (2 días oficina, 3 días remoto).

📍 Barcelona.

22 días de vacaciones + 24 y 31 de diciembre.

Remuneración flexible.

🗺 Pago de certificaciones tecnológicas.

😃 Salario competitivo y plan de acciones disponible.

💻 ¿Te interesa este reto?

Inscríbete o comparte esta oferta con alguien a quien pueda encajarle.

¡Nos encantará conocerte!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada23 abr.

. Azure AWS Machine Learning

Estem interessats a incorporar un/a licenciat/ada en Bioquímica, Biotecnologia o similar, amb màster en l’àmbit de la recerca biomèdica traslacional, per donar suport al projecte “UNICAS. Implementation of a Pediatric Network for Personalised Medicine in Rare Pediatric Diseases. A Pilot Project”.

L’objectiu últim de la medicina pediàtrica de precisió és estratificar els nens afectats per malalties per millorar el diagnòstic i els tractaments mèdics. Els investigadors translacionals estan aportant quantitats cada vegada més grans de dades clíniques heterogènies i informació científica per crear estratègies de classificació que permetin adequar la intervenció als mecanismes subjacents de la malaltia en subgrups de pacients.

La majoria de les malalties genètiques pediàtriques —com els trastorns del neurodesenvolupament, les malalties metabòliques hereditàries, els trastorns neuromusculars, les epilèpsies i altres afeccions monogèniques ultrarares— són causes importants de mort i discapacitat infantil a Espanya i a tot el món.

Objectius principals del projecte

• Establiment d'una Xarxa de Recerca Pediàtrica en Malalties Rares per a la Medicina de Precisió a Espanya.
• Aplicació d'estàndards d'Història Clínica Electrònica mitjançant la introducció d'un "conjunt mínim de dades clíniques" en quatre grups de malalties per obtenir un conjunt d'estàndards comuns de dades clíniques que es pretenen incloure a les RER, CSUR i CIBER.
• Implementació d'eines comunes entre unitats pediàtriques i desplegament de "Casos d'Ús" per a IMPaCT-Data i IMPaCT-Genomics.
• Aplicació d'eines automatitzades per analitzar i compartir informació genòmica de nens amb malalties rares i la interacció amb IMPaCT-Genomics.
  
  
  

El projecte desplegarà una plataforma federada de dades, seguint les directrius i demostradors desenvolupats per IMPaCT-Data. Aquest projecte pilot pretén donar el tret de sortida a la Xarxa i estructurar les seves bases mínimes aprofitant dades fenotípiques i genòmiques existents en 300 pacients, així com realitzar estudis genòmics i fenotípics estructurats en altres 200 pacients amb quatre grups de patologies.

La persona contractada s’incorporarà al laboratori de Bioquímica en connexió amb la Direcció de Estrategia Digital i Dades, i participarà activament en el Work Package 4 (WP4) del projecte, així com en tasques relacionades amb la validació i estandardització de dades del laboratori clínic.

Les seves funcions principals inclouran:

• Interpretar dades genòmiques a través de l’anàlisi de biomarcadors (genòmica funcional) relacionats amb variants genètiques de significat incert.
• Validar l’estandardització de dades procedents del laboratori clínic i participar en proves de concepte relacionades amb la interfície i codificació LOINC del conjunt mínim de dades.
• Integrar i correlacionar dades bioquímiques i genòmiques, i col·laboració multidisciplinària entre laboratoris clínics i unitats de genòmica, per millorar el procés diagnòstic en malalties rares pediàtriques.
• Donar suport als investigadors i especialistes clínics en la interpretació dels resultats i l’harmonització de les dades.
• Assegurar la qualitat i traçabilitat de les dades de laboratori, contribuint al desenvolupament d’un sistema interoperable dins del Projecte Pilot UNICAS.
• Participar en reunions de coordinació i en la preparació d’informes tècnics o científics derivats de l’activitat del projecte.
  
  
  

Requisits:

Formació:

• Llicenciatura o grau en Bioquímica, Biotecnologia o similar.
• Màster en Recerca Biomèdica Traslacional o equivalent.
  
  
  

Experiència:

• Experiència demostrable en laboratori bioquímic-clínic, preferiblement dedicat al diagnòstic de malalties rares.
• Experiència en anàlisi de biomarcadors bioquímics que permetin validar o complementar variants genètiques de significat incert.
• Ús habitual de programes informàtics de laboratori i de gestió de resultats clínics.
  
  
  

Es valorarà:

• Coneixement d’estàndards LOINC, OMOP, SNOMED i d’altres models d’interoperabilitat clínica.
• Familiaritat amb entorns de computació en núvol (AWS, Azure) i eines de IA, machine learning o NLP aplicades a l’anàlisi de dades biomèdiques.
  
  
  

Competències personals:

• Capacitat per treballar de manera autònoma i en equip.
• Proactivitat i adaptabilitat en un entorn en constant canvi.
  
  
  

Qué Oferim:

Oferim:

• Contracte estable, lligat al projecte.
• Jornada 100% de dilluns a divendres de 8:00h a 16:30h (37,5 hores setmanals)
• Teletraball
  
  
  

"El presente contrato está cofinanciado por el ISCIII, programa de Proyectos de Investigación de Medicina Personalizada de Precisión. Programa financiado con los fondos NextGeneration para la ejecución del plan de Recuperación, Transformación y Resilencia (PRTR)” con nº de expediente PMP22/00008

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada23 abr.

. Python TSQL Azure AWS R Machine Learning Power BI Tableau

L'objectiu últim de la medicina pediàtrica de precisió és estratificar els nens afectats per malalties per millorar el diagnòstic i els tractaments mèdics.

Els investigadors translacionals estan aportant quantitats cada vegada més grans de dades clíniques heterogenies i informació científica per crear estratègies de classificació que permetin adequar la intervenció als mecanismes subjacents de la malaltia en subgrups de pacients.

La majoria de les malalties genètiques pediàtriques, com els trastorns del neurodesenvolupament, les malalties metabòliques hereditàries, els trastorns neuromusculars, les epilèpsies i altres afeccions monogèniques ultrarares, són causes importants de mort i discapacitat infantil a Espanya i a tot el món.

Els objectius principals d'aquest projecte són:

1- Establiment d'una Xarxa de Recerca Pediàtrica en Malalties Rares per a la Medicina de Precisió a Espanya;

2- Aplicació d'estàndards d'Història Clínica Electrònica mitjançant la introducció d'un "conjunt mínim de dades clíniques" en quatre grups de malalties per obtenir un conjunt d'estàndards comuns de dades clíniques que es pretenen incloure a les RER, CSUR i CIBER;

3- Implementació d'eines comunes entre unitats pediàtriques i desplegament de "Casos d'Ús" per a IMPaCT-Data i IMPaCT-Genomics.

4- Aplicació d'eines automatitzades per analitzar i compartir la informació genòmica de nens amb malalties rares i la interacció amb IMPaCT-Genomics.

El projecte desplegarà una plataforma federada de dades seguint les directrius, la documentació i els demostradors desenvolupats per IMPaCT-Data.

Aquest projecte pilot pretén donar el tret de sortida de la Xarxa, estructurar les seves bases mínimes aprofitant les dades fenotípiques i genòmiques existents en 300 pacients i realitzar estudis genòmics i anàlisis fenotípics estructurats com a estudi pilot en altres 200 pacients amb quatre grups de patologies.

Les funcions de la persona contractada seran les següents:

• Validar les diferents codificacions i assegurar que segueixen els estàndards necessaris per conformar una base de dades OMOP.
• Fer proves de concepte per facilitar la codificació mitjançant el processament del llenguatge natural (NLP)
• Definir i validar, conjuntament amb els investigadors, els conjunts de dades necessaris per a la correcta execució del projecte, així com la seva explotació, visualització i la creació d’entorns de consum de dades amigables i efectius segons els requisits dels usuaris (UX).
• Realitzar anàlisis de dades automatitzades i assegurar-se que es compleixen els estàndards d’interoperabilitat utilitzats en el projecte.
• Analitzar i extreure informació rellevant de grans volums de dades.
• Planificar, crear i gestionar bases de dades complexes.
• Donar suport als investigadors i especialistes clínics del projecte, així com assistir a les reunions requerides.
  
  
  

Requisits:

Requisits

• Estar en possessió del títol d’Enginyeria Biomèdica, Ciència de Dades o experiència equivalent.
  
  
  

Experiència en:

• Llenguatges de programació (R, Python o similar).
• Bases de dades (SQL).
• Eines de visualització (Tableau, Power BI o similar).
  
  
  

Es valorarà coneixement de:

• Entorns de computació en núvol, com AWS o Azure.
• Aplicació d'intel·ligència artificial, machine learning, IA generativa i eines de NLP en l'anàlisi de dades i en la presa de decisions basades en dades.
  
  
  

Competències personals:

• Capacitat per treballar de manera autònoma i en equip.
• Proactivitat i adaptabilitat en un entorn en constant canvi.
  
  
  

Oferim:

• Contracte estable, lligat al projecte.
• Jornada 100% de dilluns a divendres de 8:00h a 16:30h
• Teletraball

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada21 abr.

Teletrabajo . Python Machine Learning Office

Work Location:

Hybrid. Madrid city center (Sol area). 3 days a week in the office + 2 days remote.

Who are we looking for?

We are looking for a Machine Learning / AI Engineer, working close to one of our main clients in banking sector.

Main tasks and accountabilities will be:

• Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges
• Create multi-agent systems and equip AI models with function/tool-calling capabilities
• Design and implement RAG systems to ground AI responses in enterprise data
• Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability
• Optimize agentic workflows and AI agents for production use cases
• Testing and optimizing system prompts and few-shot example to ensure accurate , consistent, and safe AI outputs
• Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them
• Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

What UST expects from you?

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Understanding software development best practices, including version control, testing, and documentation
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
• Relevant work experience in machine learning, data science or a related field
• Good english level (C1) you will be working with international teams.

What can we offer?

• 23 days of Annual Leave plus the 24th and 31st of December as discretionary days!
• Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).
• `Retribución Flexible´ Program: (Meals, Kinder Garden, Transport, online English lessons, Health Care Plan…)
• Free access to several training platforms
• Professional stability and career plans
• UST also, compensates referrals from which you could benefit when you refer professionals.
• The option to pick between 12 or 14 payments along the year.
• Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime…)
• UST Club Platform discounts and gym Access discounts

If you would like to know more, don’t hesitate to apply and we’ll get in touch to fill you in detail. We are waiting for you!

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada21 abr.

. Python Azure Docker Kubernetes Machine Learning

En NTT DATA estamos construyendo soluciones AI-first que ya están en producción, generando impacto real en sectores como banca, industria, telecomunicaciones o sector público.

Buscamos una persona con experiencia en Machine Learning y MLOps en entornos Azure que quiera ir un paso más allá: no solo desarrollar modelos, sino diseñar y desplegar soluciones de IA robustas, escalables y sostenibles.

Aquí no te quedarás en el notebook.

📌¿Cuál sería tu misión?

• Diseñar, entrenar y optimizar modelos de Machine Learning en Python.
• Construir pipelines de entrenamiento, validación y despliegue en Azure.
• Implementar soluciones MLOps (CI/CD, versionado, monitorización y retraining).
• Desplegar modelos en entornos productivos usando Azure ML, Docker y Kubernetes.
• Garantizar la escalabilidad, trazabilidad y observabilidad de los modelos.
• Colaborar con perfiles de Data Engineering, Arquitectura y Negocio para crear soluciones end-to-end.
• Participar en la evolución hacia arquitecturas AI-first.

📋 ¿Qué esperamos de ti?

• 3-5 años de experiencia como Machine Learning Engineer o rol similar.
• Dominio sólido de Python (scikit-learn, TensorFlow, PyTorch o similares).
• Experiencia en Azure Machine Learning.
• Conocimiento práctico en MLOps (CI/CD, automatización de pipelines, versionado de modelos).

¿Qué podremos ofrecerte?

La posibilidad de dar un paso más allá en tu carrera profesional, y poder orientar tu desarrollo hacia la Arquitectura.

Además de:

🧠 Formarás parte de un equipo diverso, donde cada voz cuenta y cada logro se celebra. Trabajamos con propósito y con impacto real.

💼 Contrato indefinido con revisiones de categoría y salario anuales.

🎓 Impulsamos tu aprendizaje continuo. Tendrás acceso a certificaciones, formación técnica en Azure, comunidades internas de Data & AI y proyectos que te exigirán evolucionar.

📝 Acceso a nuestra plataforma formativa NTT DATA University (formaciones técnicas, metodológicas, idiomas y soft skills).

👩🏽 💻 Trabajo híbrido y horario flexible para que conciliemos mejor.

📅 Jornada intensiva (8:00 a 15:00) los viernes y durante el verano.

🏥 Beneficios corporativos: complementos salariales adicionales, retribución flexible, seguro médico, etc.

🔝 Global Top Employer 2025 — por 10º año consecutivo en España.

🌊 Programas solidarios y actividades sociales a través de nuestro portal de voluntarios de The Blue Wave impulsando un impacto positivo.

🌏 Innovación diversa y cultura inclusiva en NTT DATA creemos que cada persona es única. Apostamos por una cultura inclusiva que valora la diversidad y fomenta un entorno donde todos podamos explorar y potenciar nuestra singularidad.

Si te motiva llevar modelos de IA del laboratorio a producción con impacto real, este es tu entorno.

Make this the place where you grow.