Ofertas de empleo para machine-learning

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

. Python R Machine Learning

This job is with IBEC, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

Please do not contact the recruiter directly.

With the aim to recruit research staff for the implementation of one of the sixteen "Collaborative Projects" selected in Catalonia within the framework of the Complementary Plan for Biotechnology in Catalonia, this selection process is opened.

This Complementary Plan is co-funded by the Ministry of Science and Innovation and the Generalitat de Catalunya under the C17.I1 of the Recovery, Transformation and Resilience Plan (PRTR).

• Introduction to vacant position:
  
  

The Computational Genomics group led by Dr. David Torrents (Barcelona Supercomputing Center, BSC) is looking for a Research Assistant to be in charge of pushing a national project in collaboration with Institut d'Investigacions de Ciències per la Salut Germans Trias i Pujol (IGTP).

The contract will be within the framework of the "Development and implementation of integrated artificial intelligence models to predict the risk of Type 2 Diabetes" (IA4DT2) project prioritized by the IBEC under the "Plan Complementario de Biotecnología aplicada a la Salud" ( biotechnology applied to health ).

This Plan Complementario is co-financed by the Ministerio de Ciencia e Innovación and the Generalitat de Catalunya, with funds from the European Union NextGenerationEU (PRTR-C17.I1)

• The successful candidate will develop research involving:
  
  

Under the supervision of Dr. David Torrents (ICREA Professor), the applicant will carry out the following research activities:

In charge of getting access and preparing the clinical and molecular data required for the different analyses planned within the project.

Creation and implementation of the necessary machine learning models for 1) discovering the variables affecting disease development and 2) predicting the risk.

The candidate must be capable of applying the models in different populations and of generating protocols to evaluate and ensure the reliability of the outcomes.

Elaboration of periodical reports to facilitate the follow up by the different collaborators.

Promotion of the dissemination of the findings obtained within the project with the research community.

The selected candidate will perform the work at the department of Computational Genomics of BSC.

• Requirements for candidates
  
  

Essential

Master in Biomedicine, Biotechnology, Biostatistics or related discipline.

Proven experience in the creation of artificial intelligence and machine learning models, and the use of statistical models.

Experience in managing, organising, preparing, and analysing genetic data in large cohorts.

Good programming skills in different languages including Python and R, and to be familiarised with HPC environments.

Experience in the genomic analysis of complex diseases and to know the main factors predisposing to disease development (crucial).

A Dvantageous

Candidates with previous knowledge of Type 2 Diabetes will be positively valued

We Offer

Number of available positions: 1

Starting date: Between 1st of April and the 16th of June ****

Working Conditions

Full time 18-month contract.

Attractive salary

Measures to reconcile work and family life (maternity and paternity leave, flexible schedule working hours, teleworking, 23 working days of paid holidays, 9 leave days for personal matters, among others).

Stimulating, interdisciplinary research and high-quality international scientific environment.

IBEC ensures equality of access to professional development opportunities irrespective of employment status, length at IBEC or other factors.

The IBEC's yearly training catalogue offers a wide range of training in technical and transferable skills including mobility grants and a Mentoring programme for predoctoral and postdoctoral researchers.

Induction programme to facilitate incorporation at IBEC and additional support is provided for foreigners to obtain Visa-working permit and to install in Barcelona.

How To Apply

Until February 24th an online application form is available through IBEC dedicated site: /

Only those applications submitted before the deadline will be evaluated.

Reference: PPCC-IA4DT2

If you have any further questions regarding your application or the application process, please get in touch with us at ******

If you have any questions regarding a project or the Complementary Plan, please get in touch with us at ******

Principles Of The Selection Process

IBEC is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit based Recruitment principles (OTM-R).

IBEC ´s Commitment On Equal Opportunity

Our strength and excellence as an international transdisciplinary Research Institute are based on diversity.

Being an equal opportunity employer, we are committed to diversity and inclusion, so that we support employees irrespective of their gender, nationality, religion, disabilities, age, sexual identity or cultural and socioeconomic background.

"

Protection Of Personal Data

IBEC guarantees that candidates' personal data are processed in accordance with the requirements of the EU General Data Protection Regulation (GDPR) and Law ****** on Data Protection.

Personal data will be processed solely for the purposes of the selection process.

Who we are?

The Institute for Bioengineering of Catalonia, IBEC is an interdisciplinary research center focused on Bioengineering and Nanomedicine based in Barcelona.

IBEC is one of the top research institutions named as a Severo Ochoa Research Centre by the Ministry of Science, Universities and Innovation, which recognizes excellence at the highest international level in terms of research, training, human resources, outreach and technology transfer.

IBEC's mission is to develop international high-quality interdisciplinary research that, while creating knowledge, contributes to making a better quality of life, improving health and creating wealth.

A close link with key universities, reference hospitals and corporations, are assets that facilitate achieving the mission.

IBEC was established in **** by the Generalitat de Catalunya (Autonomous Government of Catalonia), the University of Barcelona (UB) and the Technical University of Catalonia (UPC).

IBEC is located within the Barcelona Science Park and is managing ***** square meters facilities, with an annual budget of 13 Mio€; ***** square meters of facilities; 21 research groups and a team of researchers and support services of 350 people from 30 different countries.

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

. Python R Machine Learning

This job is with IBEC, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

Please do not contact the recruiter directly.

With the aim to recruit research staff for the implementation of one of the sixteen "Collaborative Projects" selected in Catalonia within the framework of the Complementary Plan for Biotechnology in Catalonia, this selection process is opened.

This Complementary Plan is co-funded by the Ministry of Science and Innovation and the Generalitat de Catalunya under the C17.I1 of the Recovery, Transformation and Resilience Plan (PRTR).

• Introduction to vacant position:
  
  

The Computational Genomics group led by Dr. David Torrents (Barcelona Supercomputing Center, BSC) is looking for a Research Assistant to be in charge of pushing a national project in collaboration with Institut d'Investigacions de Ciències per la Salut Germans Trias i Pujol (IGTP).

The contract will be within the framework of the "Development and implementation of integrated artificial intelligence models to predict the risk of Type 2 Diabetes" (IA4DT2) project prioritized by the IBEC under the "Plan Complementario de Biotecnología aplicada a la Salud" ( biotechnology applied to health ).

This Plan Complementario is co-financed by the Ministerio de Ciencia e Innovación and the Generalitat de Catalunya, with funds from the European Union NextGenerationEU (PRTR-C17.I1)

The Successful Candidate Will Develop Research Involving

Under the supervision of Dr. David Torrents (ICREA Professor), the applicant will carry out the following research activities:

In charge of getting access and preparing the clinical and molecular data required for the different analyses planned within the project.

Creation and implementation of the necessary machine learning models for 1) discovering the variables affecting disease development and 2) predicting the risk.

The candidate must be capable of applying the models in different populations and of generating protocols to evaluate and ensure the reliability of the outcomes.

Elaboration of periodical reports to facilitate the follow up by the different collaborators.

Promotion of the dissemination of the findings obtained within the project with the research community.

The selected candidate will perform the work at the department of Computational Genomics of BSC.

Requirements for candidates

Essential

Master in Biomedicine, Biotechnology, Biostatistics or related discipline.

Proven experience in the creation of artificial intelligence and machine learning models, and the use of statistical models.

Experience in managing, organising, preparing, and analysing genetic data in large cohorts.

Good programming skills in different languages including Python and R, and to be familiarised with HPC environments.

Experience in the genomic analysis of complex diseases and to know the main factors predisposing to disease development (crucial).

A Dvantageous

Candidates with previous knowledge of Type 2 Diabetes will be positively valued

We Offer

Number of available positions: 1

Starting date: Between 1st of April and the 16th of June ****

Working Conditions

Full time 18-month contract.

Attractive salary

Measures to reconcile work and family life (maternity and paternity leave, flexible schedule working hours, teleworking, 23 working days of paid holidays, 9 leave days for personal matters, among others).

Stimulating, interdisciplinary research and high-quality international scientific environment.

IBEC ensures equality of access to professional development opportunities irrespective of employment status, length at IBEC or other factors.

The IBEC's yearly training catalogue offers a wide range of training in technical and transferable skills including mobility grants and a Mentoring programme for predoctoral and postdoctoral researchers.

Induction programme to facilitate incorporation at IBEC and additional support is provided for foreigners to obtain Visa-working permit and to install in Barcelona.

How To Apply

Until February 24th

an online application form is available through IBEC dedicated site: /

Only those applications submitted before the deadline will be evaluated.

Reference: PPCC-IA4DT2

If you have any further questions regarding your application or the application process, please get in touch with us at ******

If you have any questions regarding a project or the Complementary Plan, please get in touch with us at ******

Principles Of The Selection Process

IBEC is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit based Recruitment principles (OTM-R).

IBEC ´s Commitment On Equal Opportunity

Our strength and excellence as an international transdisciplinary Research Institute are based on diversity.

Being an equal opportunity employer, we are committed to diversity and inclusion, so that we support employees irrespective of their gender, nationality, religion, disabilities, age, sexual identity or cultural and socioeconomic background.

"

Protection Of Personal Data

IBEC guarantees that candidates' personal data are processed in accordance with the requirements of the EU General Data Protection Regulation (GDPR) and Law ****** on Data Protection.

Personal data will be processed solely for the purposes of the selection process.

Who we are?

The Institute for Bioengineering of Catalonia, IBEC is an interdisciplinary research center focused on Bioengineering and Nanomedicine based in Barcelona.

IBEC is one of the top research institutions named as a Severo Ochoa Research Centre by the Ministry of Science, Universities and Innovation, which recognizes excellence at the highest international level in terms of research, training, human resources, outreach and technology transfer.

IBEC's mission is to develop international high-quality interdisciplinary research that, while creating knowledge, contributes to making a better quality of life, improving health and creating wealth.

A close link with key universities, reference hospitals and corporations, are assets that facilitate achieving the mission.

IBEC was established in **** by the Generalitat de Catalunya (Autonomous Government of Catalonia), the University of Barcelona (UB) and the Technical University of Catalonia (UPC).

IBEC is located within the Barcelona Science Park and is managing ***** square meters facilities, with an annual budget of 13 Mio€; ***** square meters of facilities; 21 research groups and a team of researchers and support services of 350 people from 30 different countries.

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

Teletrabajo . API Python TSQL NoSQL Docker Cloud Coumputing Machine Learning

¡Únete a nuestro equipo!

Buscamos un Data Scientist con 2–4 años de experiencia en desarrollo de modelos analíticos, automatización de procesos basados en datos y despliegue de soluciones predictivas.

El reto consiste en liderar la creación de productos y modelos inteligentes aplicados a la producción, calidad, logística y mantenimiento, participando activamente en proyectos de transformación digital en el ámbito de la Industria 4.

Los principales requisitos son:

• Experiencia de 2–4 años como Data Scientist, Machine Learning Engineer o rol similar.
• Dominio de Python y librerías de análisis/modelado (Pandas, Scikit-learn, MLflow, PySpark valorable).
• Experiencia en diseño, entrenamiento y validación de modelos predictivos (regresión, clasificación, series temporales, clustering).
• Conocimientos sólidos en SQL y bases de datos relacionales; valorable NoSQL.
• Conocimientos en MLOps, contenedores (Docker) y despliegue de modelos (API, cloud).
• Capacidad para trabajar con clientes, entender requerimientos y proponer soluciones analíticas de valor.

Las funciones de la persona seleccionada serán:

• Liderar el desarrollo de modelos de machine learning aplicados a planificación, mantenimiento predictivo, control de calidad y optimización operacional.
• Diseñar y construir pipelines de datos robustos para entornos industriales.
• Participar en el desarrollo de nuevos productos de analítica avanzada y algoritmos propios de Geprom.
• Coordinar y guiar a perfiles junior en tareas analíticas y de preparación de datos.
• Trabajar con equipos de software, automatización y operaciones para integrar modelos en sistemas existentes.
• Presentar resultados y propuestas técnicas a clientes.

Ofrecemos:

• Horario flexible y opciones de teletrabajo.
• Proyectos innovadores con clientes líderes del sector industrial.
• Oportunidades reales de desarrollo profesional
• Formación continua
• Ambiente dinámico y colaborativo.
• Seguro médico y plan de retribución flexible.

Sobre Geprom

En Geprom tenemos oportunidades de desarrollo profesional en un entorno donde tú eres quién pone el límite a tu crecimiento.

Te ofrecemos el reto de asumir nuevas responsabilidades y participar en proyectos de gran trascendencia, mediante el desarrollo e integración de las tecnologías más avanzadas en el ámbito de la industria 4.0 y de la automatización industrial.

Geprom es una ingeniería de base tecnológica especializada en el ámbito de la automatización industrial y la transformación digital, desarrollando e integrando proyectos llave en mano en las áreas de planificación, producción, calidad, logística y mantenimiento especializados en la Industria 4.0.

En Geprom, entendemos que cada empresa, sea del tamaño que sea, pone en marcha su revolución digital de un modo único, integrando en sus modelos de negocio a personas, datos, máquinas y procesos. Sobre esta base, acompañamos a nuestros clientes ofreciendo soluciones, servicios, y productos de forma integral para hacer realidad la transformación digital y superar juntos las barreras de la cuarta revolución industrial.

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

. Python Linux R MATLAB Docker Machine Learning

This job is with IBEC, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

Please do not contact the recruiter directly.

Introduction To The Vacant Position

The Signal and Information Processing for Sensing Systems Group led by Dr. Santiago Marco at the

Institute for Bioengineering of Catalonia (IBEC)

is looking for a Research Assistant to work on data analysis.

Main tasks and responsibilities / The successful candidate will develop research involving:

Computational Cluster/Disk Server administration

Support the development/maintenance of R-packages

Development of software documentation & testing methodologies

Statistical/ Machine Learning analysis of datasets

Data Visualization

Preparation of Graphical User Interfaces in R-shiny

Requirements For Candidates

Preferred profile: MSc (or PhD) in Computer Science, Statistics, Maths, Engineering, Bioinformatics with emphasis on Computational

Data Science

• Experience in Linux administration
• Experience in R programming, visualization and package building
• Previous experience in some of the following domains:
  
  

Signal Processing

Advanced Statistics

Machine Learning

• Experience with GitHub/GitLab
• Self-critical, capacity to learn and bring knowledge.
• High level of oral and written English.
• High motivation and ability to be involved in a multidisciplinary team
  
  

Other Valuable Skills

International research experience- Programming in Python and/or MATLAB

• Previous experience in the analysis of biomedical/metabolomics datasets
• Experience with containers
  
  

We Offer

Number of available positions: 1

Starting date: April ****

Working Conditions

Stimulating, interdisciplinary research and high-quality international scientific environment.

Salary will be determined by experience and scientific background.

Measures to reconcile work and family life (maternity and paternity leave, flexible schedule working hours, teleworking, 23 working days of paid holidays, 9 leave days for personal matters, among others).

How To Apply

Until March 22nd

an online application form is available through IBEC dedicated site: /

Only those applications submitted before the deadline will be evaluated.

Reference: LT-SM.

If you have any further question regarding your application, please contact us at ******

Principles Of The Selection Process

IBEC is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit based Recruitment principles (OTM-R).

IBEC ´s Commitment On Equal Opportunity

Our strength and excellence as an international transdisciplinary Research Institute are based on diversity.

Being an equal opportunity employer, we are committed to diversity and inclusion, so that we support employees irrespective of their gender, nationality, religion, disabilities, age, sexual identity or cultural and socioeconomic background.

"

Protection Of Personal Data

IBEC guarantees that candidates' personal data are processed in accordance with the requirements of the EU General Data Protection Regulation (GDPR) and Law ****** on Data Protection.

Personal data will be processed solely for the purposes of the selection process.

Who we are?

The Institute for Bioengineering of Catalonia, IBEC is an interdisciplinary research center focused on Bioengineering and Nanomedicine based in Barcelona.

IBEC is one of the top research institutions named as a Severo Ochoa Research Centre by the Ministry of Science, Universities and Innovation, which recognizes excellence at the highest international level in terms of research, training, human resources, outreach and technology transfer.

IBEC's mission is to develop international high-quality interdisciplinary research that, while creating knowledge, contributes to making a better quality of life, improving health and creating wealth.

A close link with key universities, reference hospitals and corporations, are assets that facilitate achieving the mission.

IBEC was established in **** by the Generalitat de Catalunya (Autonomous Government of Catalonia), the University of Barcelona (UB) and the Technical University of Catalonia (UPC).

IBEC is located within the Barcelona Science Park and is managing ***** square meters facilities, with an annual budget of 13 Mio€; ***** square meters of facilities; 21 research groups and a team of researchers and support services of 350 people from 30 different countries.

Share this...

FacebookPinterestTwitterLinkedin

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

. IoT Machine Learning

¡Bienvenido/a a Binaia! 😊

En Binaia somos especialistas de Headhunting y Formación de perfiles IT e Ingeniería. Trabajamos un depurado modelo de Headhunting & Recruiting, centrándonos en conocer tus intereses y expectativas, y en base a ello, ofrecerte un proyecto que se ajuste al máximo a tu ideal profesional 👬

Nuestro modelo ya funciona en distintos clientes con los que colaboramos, donde les apoyamos con el proceso selectivo de distintos perfiles: Data Engineering, IA Gen, Machine Learning, Power Automation, Software Dev, IoT, DevSecOps, IoT, Ingeniería Fotovoltaica, Ingeniería Agrícola etc.

🎯¿Qué estamos buscando?

Nos encontramos en la búsqueda de un compañero/a Director comercial con más de 5 años de experiencia.

📌 Requisitos:

• Amplia experiencia en el sector comercial B2B, enfocado en la captación de clientes y apertura de nuevas cuentas.
• Capacidad de liderazgo y experiencia en la gestión de equipos.
• Experiencia en la venta de servicios y productos del sector tecnológico.
• Alta orientación a resultados y mentalidad hunter.
• Dominio de CRM y herramientas de gestión comercial como Hubspot.
• ¡Y, por supuesto, habilidades para trabajar en equipo!

¿Qué ofrecemos?

✨ Desarrollo profesional con formación continua en tecnologías, certificaciones e idiomas.

⏳ Jornada flexible para mejorar el equilibrio entre vida profesional y personal.

🎉 Afterworks, eventos deportivos y actividades de equipo.

💻 Participación en eventos tecnológicos y Tech Experiences.

💰 Retribución flexible adaptada a tus necesidades.

📈 Oportunidades de crecimiento real en una compañía consolidada y en plena expansión.

¿Te interesa?

Esta es tu oportunidad. Si quieres gestionar equipos y abrir mercado como Director Comercial, postula ahora o visita nuestra web.

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

Teletrabajo . Python TSQL Cloud Coumputing Big Data Machine Learning

¡Únete a nuestro equipo!

Buscamos un perfil junior con formación reciente en Data Science, Big Data o IA y ganas de iniciar su carrera profesional participando en proyectos reales de transformación digital en entornos industriales.

El reto consiste en desarrollar modelos analíticos, automatizar procesos basados en datos y colaborar en la construcción de soluciones avanzadas que ayuden a pymes y grandes empresas en su transición hacia la Industria 4.0.

Los principales requisitos son:

• Formación en Data Science, Ingeniería, Matemáticas, Estadística o similar.
• Conocimientos de Python para análisis y modelado (NumPy, Pandas, Scikit-learn).
• Bases de datos relacionales y SQL.
• Nociones de machine learning y estadística aplicada.
• Valorable experiencia en proyectos de máster, TFM o prácticas relacionadas con IA, analítica o automatización.
• Interés en tecnologías avanzadas (ML, deep learning, cloud, MLOps).
• Capacidad de trabajo en equipo, autonomía y motivación por la tecnología y la analítica.

Las funciones de la persona seleccionada serán:

• Colaborar en el análisis, preparación y limpieza de datos procedentes de sistemas industriales (MES, SGA, QMS, GMAO…).
• Apoyar en el desarrollo de modelos de machine learning orientados a mantenimiento predictivo, calidad, optimización y planificación.
• Participar en proyectos de implementación de soluciones analíticas para clientes industriales.
• Automatización de pipelines de datos y generación de informes y visualizaciones.
• Contribuir con nuevas ideas y propuestas para mejorar los productos y servicios de analítica avanzada.

Ofrecemos:

• Horario flexible y opciones de teletrabajo.
• Proyectos innovadores con clientes líderes del sector industrial.
• Oportunidades reales de desarrollo profesional
• Formación continua
• Ambiente dinámico y colaborativo.
• Seguro médico y plan de retribución flexible.

Sobre Geprom

En Geprom tenemos oportunidades de desarrollo profesional en un entorno donde tú eres quién pone el límite a tu crecimiento.

Te ofrecemos el reto de asumir nuevas responsabilidades y participar en proyectos de gran trascendencia, mediante el desarrollo e integración de las tecnologías más avanzadas en el ámbito de la industria 4.0 y de la automatización industrial.

Geprom es una ingeniería de base tecnológica especializada en el ámbito de la automatización industrial y la transformación digital, desarrollando e integrando proyectos llave en mano en las áreas de planificación, producción, calidad, logística y mantenimiento especializados en la Industria 4.0.

En Geprom, entendemos que cada empresa, sea del tamaño que sea, pone en marcha su revolución digital de un modo único, integrando en sus modelos de negocio a personas, datos, máquinas y procesos. Sobre esta base, acompañamos a nuestros clientes ofreciendo soluciones, servicios, y productos de forma integral para hacer realidad la transformación digital y superar juntos las barreras de la cuarta revolución industrial.

• Nivel de experiencia---
• Tipo de contratoA tiempo parcial
• Publicada7 ene.

Teletrabajo . Python QA 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.

At Mindrift, innovation meets opportunity. We believe in using the power of collective human 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

We're looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You'll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You'll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You'll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.

Although every project is unique, you might typically:

• Create structured test cases that simulate complex human workflows
• Define gold-standard behavior and scoring logic to evaluate agent actions.
• Analyze agent logs, failure modes, and decision paths
• Work with code repositories and test frameworks to validate your scenarios
• Iterate on prompts, instructions, and test cases to improve clarity and difficulty
• Ensure that scenarios are production-ready, easy to run, and reusable
  
  

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

• Bachelor's and/or Master's Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.
• Background in QA, software testing, data analysis, or NLP annotation
• Good understanding of test design principles (e.g., reproducibility, coverage, edge cases)
• Strong written communication skills in English
• Comfortable with structured formats like JSON/YAML for scenario description
• Can define expected agent behaviors (gold paths) and scoring logic
• Basic experience with Python and JS
• Curious and open to working with AI-generated content, agent logs, and prompt-based behavior
  
  

Nice to Have

• Experience in writing manual or automated test cases
• Familiarity with LLM capabilities and typical failure modes
• Understanding of scoring metrics (precision, recall, coverage, reward functions)
  
  

Benefits

Contribute on your own schedule, from anywhere in the world. This opportunity allows you to:

• 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 flexible, remote, freelance project that fits around your primary professional or academic commitments
• Participate in an advanced AI project and gain valuable experience to enhance your portfolio
• Influence how future AI models understand and communicate in your field of expertise

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada7 ene.

Azure AWS Machine Learning

Perfil buscado (Hombre/Mujer)

• - Diseñar y ejecutar la estrategia de proyectos de IA en colaboración con las áreas de negocio.
• - Detectar oportunidades para aplicar IA que optimicen procesos, incrementen la eficiencia y mejoren la toma de decisiones.
• - Coordinar equipos internos y proveedores externos en el desarrollo e implementación de soluciones de IA.
• - Definir y aplicar políticas de gobierno del dato, especialmente en lo relativo a datos maestros.
• - Asegurar la calidad, coherencia y disponibilidad de la información para su uso en analítica avanzada.
• - Colaborar con IT y otras áreas para integrar soluciones de IA en los sistemas corporativos.
• - Evaluar y seleccionar tecnologías, plataformas y herramientas de IA y analítica.
• - Impulsar una cultura orientada a datos y IA, incluyendo acciones de formación y sensibilización.

• Compañía internacional cliente final
• Ser referente dentro del área de IA de la compañía

• - Grado en Ingeniería, Informática, Matemáticas, Estadística, Tecnologías de la Información o similar. Se valorarán certificaciones en IA, Data Science o Data Governance.
• - Inglés avanzado (oral y escrito). Otros idiomas serán un plus.
• - Al menos 2 años en proyectos de IA, con experiencia demostrable en gestión de iniciativas de analítica y AI.
• - Dominio de técnicas de Machine Learning, NLP, Computer Vision.
• - Experiencia con plataformas como Azure ML, AWS SageMaker, TensorFlow. Conocimiento en gestión de datos maestros y gobierno del dato. Se valorará experiencia en arquitecturas modernas (Data Lake, Data Mesh).
• - Perfil autónomo, proactivo y organizado, con excelentes habilidades comunicativas y capacidad para trabajar en equipo. Alta orientación a resultados, capacidad analítica y de síntesis, gestión de múltiples proyectos y adaptación a entornos cambiantes. Compromiso con la mejora continua y actualización tecnológica.
• - Disponibilidad para viajes puntuales.

Importante compañía internacional referente dentro de su sector

Oportunidades de carrera y desarrollo profesional.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada7 ene.

React Javascript Node.js Python Docker Cloud Coumputing Kubernetes AWS DevOps Machine Learning

Descripción
Buscamos incorporar un/a Senior Software Engineer – Fullstack para un proyecto de alto impacto en un entorno empresarial complejo y dinámico.
La persona seleccionada participará en el diseño, desarrollo y evolución de aplicaciones web y backend, aportando valor tangible mediante soluciones tecnológicas robustas y escalables.

Responsabilidades
Desarrollo de aplicaciones fullstack (frontend y backend).
Diseño y desarrollo de soluciones backend en Python.
Desarrollo frontend con JavaScript, principalmente React y Node.js.
Aplicación de conceptos y librerías de IA y Machine Learning.
Trabajo con arquitecturas en la nube, preferiblemente AWS.
Implementación de buenas prácticas DevOps: CI/CD, observabilidad y testing automatizado.
Uso de tecnologías de contenedores y orquestación (Docker, Kubernetes).
Colaboración con equipos multidisciplinares en entornos ágiles.

Requisitos
Más de 5 años de experiencia en ingeniería de software en entornos enterprise.
Experiencia demostrable en desarrollo web y backend.
Dominio de Python, JavaScript, React y Node.js.
Conocimientos en IA / Machine Learning.
Experiencia con cloud computing (AWS deseable).
Conocimientos sólidos de DevOps, CI/CD y testing automatizado.
Experiencia con Docker y Kubernetes.
Excelentes habilidades de resolución de problemas y atención al detalle.
Buenas capacidades de comunicación y trabajo en equipo.
Capacidad para trabajar en entornos dinámicos y de ritmo rápido.


OFRECEMOS:

Ubicación: Barcelona – Viladecans (Área Metropolitana)
Modalidad: Híbrido (2 días/semana en oficinas del cliente)
Contrato indefinido