Ofertas de empleo para machine-learning

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

. Python Azure Docker Cloud Coumputing Kubernetes Hadoop AWS Spark Big Data Machine Learning

Lead Machine Learning Engineer

About Coca-Cola Europacific Partners (CCEP)

CCEP is the world’s largest independent Coca-Cola bottler, operating across 13 countries and serving over 300 million consumers. Our portfolio includes iconic brands like Coca-Cola®, Fanta®, Powerade®, Glaceau Vitaminwater®, Monster®, and Capri-Sun®.

We’re on a journey to unlock the full potential of data and analytics across our business. With our first-ever Chief Data & Analytics Officer leading the way, we’re building a progressive data strategy that transforms insights into action—driving growth, efficiency, and sustainability.

The Role: Lead Machine Learning Engineer

As the Lead Machine Learning Engineer, you’ll be at the forefront of designing, developing, and deploying cutting-edge machine learning solutions. You’ll work closely with data scientists, engineers, and business stakeholders to operationalize models and build scalable ML pipelines that power our data-driven products and services.

Key Responsibilities

• Lead end-to-end development of ML models using Python, scikit-learn, Keras/TensorFlow.
• Architect and maintain scalable ML pipelines integrated with our data platforms.
• Implement advanced ML techniques (e.g., bagging, boosting, ensemble methods, neural networks).
• Monitor model performance and data drift; optimize reliability and accuracy.
• Define and track ML Ops metrics (accuracy, latency, drift, resource utilization).
• Collaborate with data scientists to productionize research models.
• Establish best practices for model versioning, reproducibility, and retraining.
• Mentor junior ML engineers and foster a culture of innovation.
• Stay ahead of industry trends and introduce new tools and techniques.
  
  

What We’re Looking For

Required Skills & Experience

• Proven leadership in ML engineering teams or projects.
• Expert in Python and ML libraries (scikit-learn, Keras, PyTorch, TensorFlow).
• Strong grasp of advanced ML techniques and ML Ops practices.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Excellent problem-solving and stakeholder engagement skills.
• Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field.
• Experience with big data tools (Spark, Hadoop).
• Familiarity with feature stores, model registries, and experiment tracking.
• Exposure to business domains like finance, healthcare, or retail analytics.
  
  

Why Join Us?

• Lead and shape the ML engineering function in a data-driven organisation.
• Work in a collaborative and innovative environment.
• Access continuous learning and professional development.
  
  

You Might Be the Right Fit If You…

• Are a hands-on Senior ML Engineer and team leader.
• Are passionate about high-quality delivery and coaching others.
• Value sustainable, flexible data platforms and their business impact.
• Combine software engineering discipline with data science rigor.
• Create an environment where your team thrives.
  
  

Ready to Make an Impact?

Apply now and be part of our data transformation journey.

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

. Python Azure Docker Cloud Coumputing Kubernetes Hadoop AWS Spark Big Data Machine Learning

Lead Machine Learning Engineer

About Coca-Cola Europacific Partners (CCEP)

CCEP is the world’s largest independent Coca-Cola bottler, operating across 13 countries and serving over 300 million consumers. Our portfolio includes iconic brands like Coca-Cola®, Fanta®, Powerade®, Glaceau Vitaminwater®, Monster®, and Capri-Sun®.

We’re on a journey to unlock the full potential of data and analytics across our business. With our first-ever Chief Data & Analytics Officer leading the way, we’re building a progressive data strategy that transforms insights into action—driving growth, efficiency, and sustainability.

The Role: Lead Machine Learning Engineer

As the Lead Machine Learning Engineer, you’ll be at the forefront of designing, developing, and deploying cutting-edge machine learning solutions. You’ll work closely with data scientists, engineers, and business stakeholders to operationalize models and build scalable ML pipelines that power our data-driven products and services.

Key Responsibilities

• Lead end-to-end development of ML models using Python, scikit-learn, Keras/TensorFlow.
• Architect and maintain scalable ML pipelines integrated with our data platforms.
• Implement advanced ML techniques (e.g., bagging, boosting, ensemble methods, neural networks).
• Monitor model performance and data drift; optimize reliability and accuracy.
• Define and track ML Ops metrics (accuracy, latency, drift, resource utilization).
• Collaborate with data scientists to productionize research models.
• Establish best practices for model versioning, reproducibility, and retraining.
• Mentor junior ML engineers and foster a culture of innovation.
• Stay ahead of industry trends and introduce new tools and techniques.
  
  

What We’re Looking For

Required Skills & Experience

• Proven leadership in ML engineering teams or projects.
• Expert in Python and ML libraries (scikit-learn, Keras, PyTorch, TensorFlow).
• Strong grasp of advanced ML techniques and ML Ops practices.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Excellent problem-solving and stakeholder engagement skills.
• Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field.
• Experience with big data tools (Spark, Hadoop).
• Familiarity with feature stores, model registries, and experiment tracking.
• Exposure to business domains like finance, healthcare, or retail analytics.
  
  

Why Join Us?

• Lead and shape the ML engineering function in a data-driven organisation.
• Work in a collaborative and innovative environment.
• Access continuous learning and professional development.
  
  

You Might Be the Right Fit If You…

• Are a hands-on Senior ML Engineer and team leader.
• Are passionate about high-quality delivery and coaching others.
• Value sustainable, flexible data platforms and their business impact.
• Combine software engineering discipline with data science rigor.
• Create an environment where your team thrives.
  
  

Ready to Make an Impact?

Apply now and be part of our data transformation journey.

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

Teletrabajo . Python TSQL Azure Cloud Coumputing Hadoop AWS R Spark Big Data Machine Learning Power BI Tableau

Ubicación:

Madrid, ES, 28046

Fecha de publicación: 10 oct 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 proceso de crecimiento y estamos buscando Data Scientist para incorporar al equipo.

¿Qué podrás hacer?

El perfil de Data Scientist tiene como misión principal extraer valor del dato para apoyar la toma de decisiones estratégicas. Esto incluye:

• Diseñar procesos de modelado de datos, algoritmos y modelos predictivos.
• Interpretar datos crudos y extraer patrones significativos.
• Desarrollar soluciones analíticas que impulsen el crecimiento y la competitividad.
• Alinear la estrategia de datos con la estrategia corporativa.
• Gestionar la entrega de información unificada para todas las áreas.
• Participar en el gobierno del dato en arquitecturas complejas.
  
  

¿Qué necesitas saber?

Formación y experiencia:

• Formación en Informatica, telecomunicaciones o carreras a fines.
• Experiencia mínima de 2 a 5 años en roles de analista o científico de datos.
• Formación complementaria en estadística, machine learning o inteligencia artificial.
  
  

Conocimientos técnicos:

• Programación en Python, R, SQL, Spark.
• Modelado de datos, series temporales, algoritmia.
• Herramientas de visualización: Power BI, Tableau.
• Plataformas cloud: Azure, AWS, Google Cloud.
• Frameworks: Databricks, Hadoop.
• Producción y mantenimiento de modelos de IA.
• Preparación de modelos en entornos cloud.
• Conocimientos en modelos analíticos: series temporales, redes neuronales, regresiones, grafos, ML.
• Experiencia en Deep Learning.
• Entornos Azure, arquitecturas Big Data (Spark, Databricks).
  
  

Soft skills:

• Capacidad analítica y conceptual.
• Interlocución con cliente y definición de requisitos funcionales.
• Liderazgo técnico y mentoring de perfiles junior.
• Ética en el uso de datos (cumplimiento normativo, confidencialidad)
  
  

Recomendable

• Certificaciones como Azure AI Engineer, Power BI Data Analyst, Lakehouse Fundamentals.
• Experiencia en proyectos internacionales.
• Conocimiento en NLP, Computer Vision.
• Participación en eventos de atracción de talento STEM (como STEMDRINK).
  
  

¿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 contratoTemporal
• PublicadaNueva

. React Javascript API Java Python Agile TSQL Django Jenkins Angular Docker Kubernetes Ansible DevOps Machine Learning

BNP Paribas Group

BNP Paribas is one of the euro zone’s leading banks, with nearly 200 000 employees in 74 countries with key positions in its three main activities: Retail Banking, Investment & Protection Services, International Financial Services and Corporate & Institutional Banking.

Throughout the world, BNP Paribas employees are deeply involved with the real economy. They help women and men, as well as businesses, associations, and institutions, to build their projects and solve concrete problems. As an international company and one of the largest banks, we have the human, technological and financial means to help move the lines, to be part of the solution, to be forerunners. Our company is renewing its client-centered model to become more digital. This move goes hand in hand with our focus on bringing positive contributions to society.

AIR Tech team

Our AIR Tech team (Artificial Intelligence & Robotics Technology for RISK and Compliance) is here to drive the bank's digital transformation through the development of strategies and recommendations based on advanced analytical methods.

Within the RISK and Compliance functions, AIR Tech is an AI (Artificial Intelligence) expert team in charge of developing Artificial Intelligence solutions for RISK and Compliance Streams and beyond.

Role Responsibilities

As an ML (Machine Learning) Engineer, you will play a pivotal role in deploying AI models that drive strategic decision-making and operational efficiency. The ML Engineer will collaborate with cross-functional teams to integrate machine learning and other AI models into the business processes and provide technical support to ensure the success of AI initiatives.

Within our team of c.35 people, you will support Data Scientists and contribute to industrializing the analysis and modelling of structured and unstructured data. You will also contribute to the architecture design of the solution for your project. And you will participate in the team effort in building tools and frameworks to improve efficiency with a focus on delivering high standard code and models.

You will also be involved in the MLOps activities, especially in deploying and monitoring our ML models in production. You will work closely with Data Scientists to define and operate an AI model lifecycle and to ensure the optimal performance of our portfolio of models.

Key Responsibilities

• Integration of machine learning models into business processes, ensuring smooth deployment and effective performance.
• Full stack development (front-end/back-end) and architecture design for projects but also development of some API based on common data processing needs
• Technical support for Data Scientists in terms of ensuring proper code structuring and better automation of workflows
• Technology monitoring on artificial intelligence topic (for instance review of internal or external solutions
  
  
  

Beyond projects, ML Engineers are expected to share their expertise at multiple levels: within the team though technical sharing sessions and beyond as well during our regular open discussion sessions on AI.

Technical Skills And Qualifications

• Expertise: Python (mandatory), SQL, Elastic search, Docker, Devops and MLops methodology, Angular, JavaScript, SQL, Apache, React, Django, Java.
• Education: Bachelor or Master Degree in Computer Science or related field.
• Skills:
  
  
  

Skills

experience as software engineer/ data analytics engineer in an agile, innovation-oriented team is appreciated preferably with at least one of the following skills:

In particular Experience building and maintaining CI/CD pipelines. building and maintaining CI/CD pipelines using tools such as Ansible, Jenkins, Docker, and Kubernetes, or building, deploying, and monitoring ML/GenAi models in production using tools such as MLFlow and Kubeflow.

• Languages: Fluent in English. Spanish and/or French a plus
• Personal profile:
• Strong analytical / problem solving skills.
• Capacity to work in project mode.
• Rigorous and curious.
• Resourceful.
• Client-oriented.
  
  
  

Diversity and inclusion commitment

BNP Paribas Group in Spain is an equal opportunity employer and proud to provide equal employment opportunity to all job seekers. We are actively committed to ensuring that no individual is discriminated against on the grounds of age, disability, gender reassignment, marriage or civil partnership status, pregnancy and maternity/paternity, race, religion or belief, sex or sexual orientation. Equity and diversity are at the core of our recruitment policy because we believe that they foster creativity and efficiency, which in turn increase performance and productivity. We strive to reflect the society we live in, while keeping with the image of our clients.

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

. OOP SaaS Big Data Machine Learning

Shift is the leading AI platform for insurance.  Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact.  Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.

Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.

Shift es la plataforma líder de IA para el sector asegurador. Shift combina IA generativa, agéntica y predictiva para transformar la suscripción, la tramitación de siniestros y la detección de fraude y riesgos, logrando eficiencia operativa, experiencias de cliente excepcionales e impactos de negocio tangibles. Con la confianza de las mayores aseguradoras del mundo, Shift despliega IA a escala y con resultados probados.

El equipo de Data Science:

El equipo de Data Science trabaja en una amplia variedad de temas. Participamos activamente en la definición y desarrollo de nuestra suite de productos en detección de fraude y automatización de siniestros. Contamos con una sólida experiencia técnica y profesional en data science, ingeniería de datos, programación, comprensión del negocio e interacción con clientes. Además, trabajamos con distintos tipos de datos: datos estructurados, texto libre, documentos e imágenes.

Tus responsabilidades principales incluirán:

• Montar y desplegar pipelines de procesamiento de datos: recepción (batch o tiempo real), limpieza, extracción de información y calibración de modelos de detección de fraude.
• Colaborar con clientes para comprender sus necesidades e incorporar su feedback para mejorar nuestras soluciones.
• Realizar actividades de I+D para impulsar la innovación de producto (machine learning, NLP, análisis de imágenes, análisis de tendencias, chatbots, LLM, etc.).
• Participar en todo el ciclo de vida de un producto de Data Science: entender cómo se conectan ventas, customer success, producto e ingeniería para entregar un producto de IA a los clientes.

Tu perfil y requisitos:

• Tienes un diploma en Matemáticas, Estadística, Informática, Machine Learning y/o Big Data.
• Tienes experiencia en programación orientada a objetos (OOP) —por ejemplo experiencias previas, proyectos académicos o personales— y puedes escribir código de calidad apto para producción.
• Te sientes cómodo/a tratando con clientes.
• Español fluido obligatorio y buen nivel de inglés (C1) para comunicarte con claridad.

¿Por qué unirte a Shift Technology en el equipo Data Science?

• Flexibilidad, autonomía y adaptabilidad forman parte de nuestros valores: somos una organización horizontal (el 40 % del equipo son data scientists).
• Aprende desde dentro de una empresa líder en IA: únete al 13.º unicornio francés y participa en formaciones prácticas, workshops y sesiones con un equipo de investigación en IA altamente experimentado.
• Forma parte de una empresa tecnológica internacional y diversa: entorno de trabajo en inglés, con 55 nacionalidades diferentes y 11 oficinas (París, Madrid, Singapur, Tokio, Sao Paulo, Ciudad de México, Boston, Londres, Toronto, Berlín...).
• Trabaja con grandes clientes y desarrolla habilidades y conocimientos de negocio: experiencia real frente a retos del sector asegurador en el ámbito de la IA.

¿Qué sucede a continuación?

Si tu candidatura y experiencia cumplen con los requisitos, puedes esperar:

• Entrevista con Talent Acquisition (30 min)
• Entrevista técnica (60 min) + una segunda entrevista tecnica (60 min)
• Entrevista con el hiring manager (60 min)

El proceso de selección puede durar entre 2 y 3 semanas, según la disponibilidad de los entrevistadores. Hacemos todo lo posible para responder con la mayor rapidez. Si no recibes novedades sobre tu candidatura después de 10 días, contacta con nosotros por correo electrónico.

To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight:

• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Company equity
• Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth
• Generous PTO and paid holidays
• Mental health benefits 
• 2 MAD Days per year (Make A Difference Days for paid volunteering)

Additional benefits may be offered by country - ask your recruiter for more information. Intern and Apprentice position are eligible for some of these benefits - ask your recruiter for more details.

At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria.

Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email [email protected] and we will work with you to meet your accessibility needs.

Please be aware of scammers and only trust correspondence that comes from emails ending in "shift-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process.

Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada31 oct.

. Python TSQL R Big Data Machine Learning Office

Job Description

Sandoz continues to go through an exciting and transformative period as a global leader and pioneering provider of sustainable Biosimilar and Generic medicines. As we continue down this new and ambitious path, unique opportunities will present themselves, both professionally and personally.

As a newly independent company we are focused on growth. We see growth as the engine powering everything we want to achieve for patients. It will allow us to innovate & pioneer greater access to high-quality medicines, but we can only do this by bringing the best and the brightest minds together.

The FIOH (Finance Innovation and Operations Hub) is the team within Sandoz whose mission is to reinvent corporate finance through cutting-edge technologies such as Artificial Intelligence and Big Data. Novartis, as one of the leading companies in the pharmaceutical sector, and Sandoz, as its Generics division, are committed to improving the lives of hundreds of millions of patients through their medicines.

FIOH aims to attract high-potential talent to its team through a scholarship program.

Would you like to start your career by applying the latest technologies to real business problems that impact people in their daily lives?

Are you passionate about technology, AI, data science, and programming?

Are you interested in finance and applying your tech knowledge to complex business challenges?

This internship is for you!

Your Responsibilities Will Include

• Support across all department projects.
• Development and implementation of Data Science products.
• Collaborate from the ideation phase to the transformation of ideas into products.
• Support the operations of already implemented products and contribute to their improvement.
• Present project progress and results.
• Prepare tools for automated report generation.
• Analyze reported data.
  
  

What You’ll Bring To The Role

• Minimum studies (completed or in progress): Degree in Engineering, Mathematics, or Data Science. Currently enrolled in a program in data analytics, data science, or big data that allows for a formal internship agreement.
• Proficiency in IT tools (Office and database management).
• Programming knowledge in Python (or R) and SQL.
• Advanced English level. The team is international and uses English daily.
• Experience in machine learning models and time series forecasting will be valued.
• Personal skills: proactivity, independence, initiative in problem-solving, analytical/critical thinking, and communication skills.
  
  

What You'll Receive

• Internship Duration: 12 months.
• Competitive Retribution and Social Benefits.
• Place of Work: Madrid
• Flexible Schedule: from Monday to Thursday from 8:00-9:30 to 17:30-19:00, on

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada31 oct.

Teletrabajo . API Python AWS DevOps Machine Learning

At PropHero we are seeking a versatile AI Engineer to join our team and help us advance both classic Machine Learning models and cutting-edge generative AI systems. In this role, you’ll work across the full AI lifecycle: training, testing, and deploying models for regression, classification, and agent-based applications. You will design and optimize backend systems using AWS, integrate AI models with databases and APIs, and collaborate closely with data science, frontend and DevOps teams to deliver scalable, reliable, and secure solutions.

Responsibilities:

• Platform Engineering: Design and maintain backend systems (AWS, Python) to support both classic ML and GenAI workloads (LangChain, LangGraph).
• Model Development & Testing: Collaborate with Data Scientists to train, fine-tune, and evaluate ML models (regression, classification, GenAI). Build pipelines for testing, fairness, and reliable inference at scale.
• Deployment & Integration: Deliver models as production-ready services; integrate with APIs, MCPs, vector databases, and external tools (e.g., HubSpot).
• Collaboration: Partner with frontend engineers for smooth API integrations and with DevOps to ensure scalable, secure deployments.
• Observability & Reliability: Implement monitoring, logging, and evaluation tools to ensure accuracy, efficiency, and reliability of AI systems.

Requirements:

• Strong backend/software engineering skills in Python.
• Hands-on experience with ML frameworks (e.g., scikit-learn, XGBoost) and GenAI libraries (LangChain, LangGraph, HuggingFace).
• Knowledge of regression, classification, and modern NLP/GenAI approaches.
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS).
• Solid expertise in API design, system architecture, and backend development.
• Experience working with AWS services and DevOps practices.
• Focus on testing, evaluation, and reliable deployment of ML models.
• Fluent English, as all our teams are distributed globally and we use English for all internal communications.

Why PropHero:

• Impact & Ownership: Your work will directly shape the data foundation that drives our business decisions and customer experience.
• Cutting-Edge Stack: Build on a modern, cloud-native AWS data platform.
• Growth Opportunities: Be part of a fast-scaling team with opportunities to lead data architecture and mentor others.
• Healthy Business: €30M revenue in 4 years, 25% QoQ growth, already profitable.

Diversity Statement

At Prophero, we are committed to fostering an inclusive and equitable workplace where diverse perspectives and backgrounds are not only welcomed but celebrated. We believe that diversity drives innovation and empowers us to build stronger connections with our clients and communities.

Prophero is an equal opportunity employer and is dedicated to ensuring a hiring process free from discrimination based on race, ethnicity, gender, age, disability, religion, sexual orientation, or any other characteristic protected by law. Our mission is to create a workplace where everyone feels valued, supported, and empowered to achieve their full potential.

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

. Python TSQL Django Azure Cloud Coumputing Git AWS Flask Power BI Machine Learning

🚀 Construye soluciones de IA que aportan valor real

En TINÁMICA no hacemos “prototipos que se quedan en un cajón”: diseñamos y desplegamos soluciones de Inteligencia Artificial que ayudan a nuestros clientes a decidir mejor, anticipar lo que viene y optimizar su negocio.

Por eso buscamos un/a Data Scientist con una visión end to end, capaz de transformar un caso de uso en una solución de IA lista para producción.

🧠 Tu día a día:

• Entender y analizar los casos de uso junto al negocio para alinear la IA con sus objetivos.
• Diseñar, construir y poner en producción modelos de Machine Learning y forecasting de series temporales.
• Asegurar reproducibilidad, observabilidad y explicabilidad en todo el ciclo de vida del modelo.
• Implementar APIs y pipelines con buenas prácticas de desarrollo y MLOps.

🧩 Lo que necesitamos de ti:

• +3 años de experiencia en Data Science.
• Dominio de Python, Git y librerías de ML: scikit-learn, xgboost, statsmodels, prophet.
• Experiencia en pandas, SQL y desarrollo de APIs con FastAPI, Flask o Django.
• Visión completa de proyectos de IA: desde el análisis hasta la puesta en producción.
• Proactividad, curiosidad y ganas de seguir aprendiendo (sí, también en IA Generativa 😉).

💡 Bonus points:

• Experiencia con TensorFlow/PyTorch.
• Conocimientos en Cloud (Azure, GCP o AWS).
• Bases de MLOps con Mlflow, Vertex AI, Azure ML o W&B.
• Frameworks de calidad de datos (Great Expectations).
• FairIA, XAI, Pyspark, PowerBI, o Polars.

🌱 Por qué esto es distinto:

• No trabajarás en proyectos de prueba: todo lo que hagas se usa y escala.
• Crecerás construyendo capacidad para liderar a Jrs y tomar decisiones técnicas.
• Cultura de resultados, aprendizaje continuo y experimentación responsable.

📩 Si te interesa diseñar IA que genera impacto real (y no solo papers), te estamos esperando.

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

. React Java Node.js MongoDB Python Azure Scrum Docker Cloud Coumputing Kubernetes TypeScript AWS IoT DevOps Agile PostgreSQL Redis Microservices Kanban Terraform Machine Learning

Estamos buscando para Gradhoc, un/a Chief Technology Officer (CTO) quién liderará la estrategia y conseguirá, junto al equipo, un producto sólido que responda a las necesidades de los clientes y del negocio.

¿Qué es Gradhoc?

Gradhoc es un software que integra tecnologías de vanguardia como IoT, gemelo digital e inteligencia artificial. Gracias a ello, ayuda a las empresas a mejorar su eficiencia energética, garantizar la seguridad alimentaria e implementar mantenimiento predictivo.

¿Qué harás?

Serás quien marque el rumbo tecnológico de la compañía, garantizando que nuestras soluciones sigan siendo escalables, seguras y alineadas con la estrategia global del negocio. Trabajarás mano a mano con dirección, ingeniería y producto para que nuestras ideas se transformen en soluciones reales, sostenibles y de alto impacto.

Esto implica:

• Definir y ejecutar la estrategia tecnológica alineada con la visión y objetivos del negocio.
• Liderar el equipo de producto, estableciendo procesos de desarrollo, revisión de código y cultura de calidad.
• Evaluar, seleccionar y supervisar la arquitectura técnica y las decisiones de infraestructura (cloud, seguridad, escalabilidad).
• Colaborar estrechamente con producto y dirección para priorizar el roadmap tecnológico.
• Garantizar la seguridad y cumplimiento normativo (RGPD, buenas prácticas de ciberseguridad).
• Establecer métricas técnicas y de rendimiento (uptime, velocidad de desarrollo, deuda técnica).
  
  

¿Con quién trabajarás de la mano? Somo un equipo de 22 personas, distribuidas en distintas áreas y especialidades:

• PO
• Tech Leads
• Desarrolladores, de orientación full stack, con distintas fortalezas técnicas en cada área (back/front)
• Desarrolladores, con formación en física/matemática/estadística y otros, dentro del área IA.
• Ingenieros técnicos, especialistas en nuestro negocio de refrigeración industrial, ingenieros de implantaciones y de desarrollo hardware.
• Equipo de desarrollo de negocios.
  
  

Requisitos:

Lo que buscamos en ti:

• Experiencia demostrable en dirección técnica, arquitectura de software o liderazgo de equipos de desarrollo.
• Conocimiento profundo en las siguientes áreas:
• Backend: Node.js, Python, Java o Go
• Frontend: React, Next.js, TypeScript
• Bases de datos: PostgreSQL, MongoDB, Redis
• Cloud: AWS, Google Cloud o Azure
• CI/CD y DevOps: Docker, Kubernetes, Terraform, GitHub Actions
• Experiencia en metodologías ágiles (Scrum, Kanban).
• Capacidad para traducir necesidades de negocio en soluciones técnicas escalables.
• Fuertes habilidades de comunicación y liderazgo.
• Inglés técnico fluido.
  
  

💡 Valoramos también

• Experiencia en startups o scale-ups.
• Conocimientos en IA / Machine Learning / Data Analytics.
• Experiencia con microservicios y arquitectura serverless.
• Interés en contribuir al diseño de producto y UX.
  
  

Importante:

• Es un trabajo presencial, ubicado en nuestra sede compartida con Cofrico, en el Polígono de Bergondo