Ofertas de empleo para machine-learning

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

. TSQL Machine Learning Power BI

Ingeniero de Procesos Industriales Especialista en Packaging (H/X/M)

Ubicación: Madrid, Barcelona o Sevilla

Modalidad: Disponibilidad para desplazamientos nacionales e internacionales

Importante grupo industrial del sector packaging busca incorporar un/a Ingeniero/a de Procesos Industriales para integrarse en el equipo técnico corporativo y participar en proyectos de mejora continua, optimización de procesos e implantación de nuevas tecnologías en distintas plantas productivas.

La persona seleccionada colaborará en la definición y desarrollo de iniciativas orientadas a aumentar la eficiencia operativa, la productividad y la competitividad industrial de la organización.

Funciones principales

• Participar en la coordinación y planificación de nuevas inversiones industriales y proyectos de mejora de procesos.
• Identificar oportunidades de optimización en producción, mantenimiento y operaciones.
• Implantar nuevas tecnologías enfocadas a la mejora del rendimiento industrial.
• Analizar datos operativos para detectar desviaciones y proponer acciones correctivas.
• Elaborar y analizar indicadores clave de producción, consumos, desperdicio y productividad.
• Preparar informes técnicos y presentaciones para la dirección.
• Colaborar en proyectos de transformación digital, automatización e Industria 4.0.
• Supervisar el cumplimiento de los procedimientos de calidad, seguridad y medio ambiente.
• Trabajar de forma transversal con los distintos centros productivos de la compañía.

Requisitos imprescindibles

• Titulación en Ingeniería.
• Experiencia mínima de 3 años en entornos industriales, preferiblemente en el sector packaging, cartón ondulado o procesos productivos afines.
• Nivel de inglés mínimo B2.
• Conocimientos en análisis y visualización de datos.
• Manejo de herramientas como SQL, Power BI, VBA o similares.
• Capacidad analítica, orientación a resultados y habilidades de comunicación.
• Disponibilidad para viajar y, eventualmente, cambiar de residencia.

Se valorará

• Formación en Prevención de Riesgos Laborales.
• Conocimientos de IA, Machine Learning, Robótica o Automatización Industrial.
• Experiencia en mejora continua, Lean Manufacturing o Industria 4.0.
• Experiencia en gestión de proyectos industriales.

¿Qué ofrecemos?

• Incorporación a un grupo industrial líder en el sector packaging.
• Participación en proyectos estratégicos de innovación y transformación industrial.
• Desarrollo profesional en un entorno dinámico, tecnológico y con visión internacional.

Si buscas un proyecto donde impulsar la excelencia operativa y la innovación industrial dentro del sector packaging, esperamos tu candidatura.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada11 oct.

. Python Azure Cloud Coumputing AWS R Machine Learning

About BizAway

Here at BizAway, we Deliver the Future of Travel. 😎

We are a solid international company with strong ambitions and great expertise. With a focus on sustainability 🌱, on a daily basis we support companies enabling them to improve their travel management through our constantly evolving services and solutions, always characterized by our tech attitude and smart and innovative processes. 🚀

We know that success comes from People and deserves to be recognized.👫Proactivity and

Reliability, Kind collaboration, and communication are the core values of our Solution Culture.

If you like challenges and would love to be part of one of the fastest-growing B2B scale-ups, then BizAway is the company you have been looking for. 🤩

We are looking for

We are looking for a driven and enthusiastic Data Scientist (m/w/d) , who desires to contribute to the growth and success of our Data & Analytics Team.

Your role in BizAway

• You design, build, and improve analytical and predictive solutions, from statistical models to reporting and dashboards, turning findings into clear, actionable insights through charts, graphs, and dashboards.
• You learn all aspects of the travel industry from Finance, Products, Sales, and Service/Operations perspectives, translating data into actionable insights and verifiable reporting, and identifying opportunities where machine learning or automation can add value.
• By developing domain expertise in our industry, you engage with Business and Strategy stakeholders to help define KPIs and metrics, including how data will be captured, shared, modeled, and leveraged across our departments.
• You contribute to building the foundations of a comprehensive source of truth through data modeling, and you help prototype and operationalize data science use cases (e.g., forecasting, segmentation, recommendation).
  
  

Your Basic Qualifications

• Previously worked in a Tech Company
• Demonstrated experience with Python (or R) for data analysis and modeling
• Working knowledge of core machine learning concepts and common libraries (e.g., pandas, scikit-learn)
• Demonstrated experience with BI Data Visualization tools (Qlik preferred)
• Data analysis, presentation, and visualization experience
• Strong communication skills required
• Ability to work alone or in a team as required
• Bachelor's degree in Statistics, Computer Science, Mathematics, Engineering, Economics, or a related field is preferred
• English proficiency (written and spoken, level B2)
  
  

We are also interested in

• Exposure to ML deployment, MLOps, or cloud platforms (AWS, GCP, Azure)
• Familiarity with generative AI / LLMs and their applied use cases
• Experience working with large or unstructured datasets
  
  

Our offer

📄 Contract type: Permanent

🕓 Working hours: Full-time – 40h/week, from Monday to Friday

🏢 Hybrid setting, flexible working policy, and great offices in Europe

💰 Salary: Attractive compensation, including equity in the company

💼 Equity in the company (stock options plan)

✈️ A seat on a scale-up with skyrocketing growth

📈 Development of your entrepreneurial spirit, having the chance to implement real-impact business decision

🌍Multicultural and international team

🙌Collaborative and smart environment to work and learn

🍻Free coffee to kick-start your day and free beers to celebrate together

BizAway avoids any discrimination based on age, gender, sexual orientation, health status, nationality, political opinions, and religious beliefs in all decisions affecting personnel selection.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada11 oct.

. .Net Java Python Agile TSQL Scrum Cloud Coumputing Jira Microservices Machine Learning

Somos el cuarto grupo bancario español. Pero, sobre todo, somos un equipo genuino de personas colaborando para ofrecer las mejores soluciones a nuestros clientes. En Banco Sabadell, #QueremosQueSeasTú, porque sabemos que el talento único de cada persona es lo que nos hace #SerSabadell.

En estos momentos buscamos incorporar en Sabadell o San Cugat a nuestro / nuestra / futuro / futura IA Project Manager con el fin de impulsar proyectos de IA en Sabadell Digital.

Lo que harás en tu día a día…

La unidad de SIA (Soluciones de Inteligencia Artificial) es la encargada de impulsar, gestionar e implementar proyectos de Inteligencia Artificial en Sabadell Digital, asegurando su encaje con las necesidades de Negocio, los marcos tecnológicos corporativos, la arquitectura objetivo, los criterios de seguridad, gobierno del dato y cumplimiento normativo aplicables.

Funciones

• Gestionar la demanda de proyectos de Inteligencia Artificial desde su identificación inicial hasta su priorización, definición, estimación, planificación y seguimiento de la entrega.
• Acompañar a las áreas de Negocio y Business Partners en la definición de casos de uso de IA, asegurando que las necesidades se traducen en iniciativas viables, medibles y alineadas con la estrategia de Sabadell Digital.
• Analizar funcional y técnicamente las iniciativas de IA, evaluando su alcance, viabilidad, dependencias, impacto en procesos, datos necesarios, riesgos y beneficios esperados.
• Gestionar presupuesto, recursos, planificación, estimaciones, hitos y dependencias para asegurar el delivery de los proyectos de IA en plazo, coste y calidad.
• Reportar avances, riesgos, bloqueos y alertas tempranas en los distintos comités y foros de seguimiento, facilitando la toma de decisiones y la priorización de la demanda.
• Coordinar equipos transversales necesarios para la implantación de soluciones de IA: arquitectura, datos, infraestructura/cloud, ciberseguridad, gobierno del dato, legal, cumplimiento, testing, usuarios y proveedores tecnológicos.
• Asegurar que las soluciones propuestas cumplen los criterios corporativos de seguridad, privacidad, trazabilidad, explicabilidad, ética, calidad del dato y control del riesgo operacional.
• Coordinar la transición desde la prueba de concepto o piloto hasta la industrialización, despliegue y operación de la solución de IA.
• Gestionar partners, contratos, costes, entregables y compromisos de proveedores especializados en IA, analítica avanzada, plataformas cloud, integración o servicios tecnológicos.
• Definir e impulsar buenas prácticas, estándares y procedimientos para mejorar la eficiencia, reutilización y escalabilidad del delivery de proyectos de IA.
• Mantener actualizada la información disponible en las herramientas corporativas de gestión de demanda, proyectos, presupuesto, riesgos y seguimiento.

Lo que valoramos…

Formación

• Grado superior, ingeniería o licenciatura en informática, telecomunicaciones, matemáticas, estadística, ciencia de datos, ingeniería industrial o similar.
• Valorable formación específica en Inteligencia Artificial, Machine Learning, ciencia de datos, analítica avanzada, gobierno del dato, gestión de proyectos o metodologías ágiles.

Conocimientos/skills

• Conocimiento del ciclo de vida de proyectos de desarrollo de software y de soluciones de IA: identificación de la demanda, análisis de viabilidad, estimación, planificación, definición funcional, construcción, pruebas, validación, despliegue, seguimiento y operación.
• Conocimiento funcional de tecnologías de Inteligencia Artificial, Machine Learning, IA generativa, modelos de lenguaje, asistentes virtuales, automatización inteligente, analítica avanzada y soluciones basadas en datos.
• Conocimiento de gobierno del dato, calidad del dato, privacidad, seguridad, trazabilidad, explicabilidad, monitorización de modelos y control de riesgos asociados a soluciones de IA.
• Conocimiento de arquitecturas basadas en APIs, microservicios, integración con sistemas corporativos, plataformas cloud, entornos de datos y herramientas de analítica.
• Conocimiento y experiencia en participación en proyectos bajo metodología Agile, incluyendo planificación iterativa, gestión de backlog, priorización de entregables, ceremonias ágiles, seguimiento de sprints y coordinación con Product Owners, Scrum Masters y equipos de desarrollo.
• Manejo de herramientas corporativas de gestión de demanda, proyectos, presupuesto, documentación, seguimiento y Reporting como JIRA, así como herramientas colaborativas.
• Valorable conocimiento de lenguajes o entornos como Python, SQL, Java, .NET, SAS, bases de datos Oracle/SQL Server, plataformas de IA/ML, herramientas de MLOps/LLMOps o soluciones de automatización.

Idiomas

• Inglés nivel B2. interlocución con proveedores, revisión de documentación técnica y seguimiento de soluciones de IA.

Experiencia

• 2 años de experiencia previa como Project Manager, Program Manager, Demand Manager, Product Owner o rol similar en entornos tecnológicos complejos.
• Experiencia en la identificación, definición y gestión de casos de uso de Inteligencia Artificial, analítica avanzada, automatización o soluciones basadas en datos.
• Experiencia en análisis funcional y coordinación de equipos técnicos, de datos, arquitectura, seguridad, negocio y proveedores.
• Experiencia en metodologías ágiles y tradicionales, así como en la gestión de iniciativas desde fases tempranas de demanda hasta la implantación productiva.
• Experiencia en gestión presupuestaria, planificación, seguimiento de hitos, gestión de riesgos y reporte ejecutivo.
• Experiencia en el ámbito de servicios financieros, regulación bancaria, riesgos, canales digitales, atención al cliente o procesos operativos será un plus.

Ubicación: Sabadell o San Cugat.

¿Compartes estos valores? Únete a Banco Sabadell y haz que tu talento marque la diferencia.

#QueremosQueSeasTú

Sabadell Digital está comprometido en promover ambientes de trabajo en los que se trate con respeto y dignidad a las personas, procurando el desarrollo profesional de la plantilla y 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, orientación sexual, religión, etnia o cualquier otra circunstancia personal o social. Sabadell Digital forma parte de la red de empresas con el distintivo de “Igualdad en la Empresa” otorgado por el Ministerio de Igualdad.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada11 oct.

. Python Agile TSQL Docker Cloud Coumputing AWS Machine Learning

Role Overview

We are on a mission to harness the power of data and artificial intelligence to shape the next generation of financial intelligence solutions. As we continue to expand our Data Science capability, we are seeking a talented and innovative Data Scientist to develop cutting-edge analytical and Generative AI solutions that drive commercial value across our business.

Based in Madrid and working within Parameta Solutions, you will play a key role in designing, developing and deploying scalable data products that transform complex financial data into actionable insights. Working closely with Data Engineering, Product, Commercial and Technology teams, you will leverage advanced analytics, cloud technologies and Generative AI capabilities to support the evolution of our data-driven product suite.

This is an exciting opportunity to contribute to a rapidly growing function at the forefront of financial data innovation, helping to shape the future of analytics, intelligence and AI-powered solutions across the organisation.

Role Responsibilities

• Design, develop and maintain robust Python-based applications for financial data analysis, transformation, enrichment and automation.
• Build scalable data science solutions that extract actionable insights from large and complex financial datasets.
• Develop interactive dashboards, monitoring frameworks and visualisation tools to support strategic and operational decision-making.
• Enhance, support and continuously improve existing data applications, data quality frameworks and analytical platforms.
• Collaborate with Data Engineers, Product Managers and commercial stakeholders to ensure the scalability, reliability and usability of data products and models.
• Apply software engineering best practices, including modular development, code reviews, automated testing, version control and CI/CD methodologies.
• Design, develop and maintain Generative AI solutions that enhance internal processes, analytical capabilities and customer-facing products.
• Leverage AWS cloud technologies and services to build scalable AI and machine learning applications, making full use of innovative capabilities available through our strategic AWS partnership.
• Evaluate emerging AI, machine learning and data science technologies, identifying opportunities to improve products, processes and client outcomes.
• Contribute to the ongoing evolution of Parameta Solutions' data science and AI capabilities, helping establish best practices and technical standards across the team.

Experience / Competences

Essential

• Master’s or PhD in Data Science, Mathematics, Computer Science, Engineering or another quantitative discipline.
• Proven experience developing production-grade Python applications within a data science, machine learning or quantitative analytics environment.
• Demonstrated software engineering fundamentals including object-oriented programming, modular design patterns and version control.
• Experience building and deploying analytical, machine learning or AI-driven solutions in a commercial environment.
• Advanced SQL skills with experience querying and manipulating large-scale datasets.
• Experience working with modern data and engineering platforms such as Snowflake, Airflow, Docker and CI/CD pipelines.
• Experience developing or integrating Generative AI, Large Language Model (LLM) or machine learning solutions.
• Demonstrated understanding of cloud-based architectures and services, particularly within AWS environments.
• Excellent problem-solving, analytical and communication skills, with the ability to work effectively in cross-functional teams.

Desired

• Industry experience in a computational or quantitative data science role.
• Experience developing customer-facing analytics, recommendation engines or AI-powered products.
• Knowledge of MLOps practices and model deployment, monitoring and governance frameworks.
• Experience working within agile product and engineering environments.
• Passion for emerging technologies and a commitment to continuous learning and innovation.

Job Band & Level

• Professional / 5

#PARAMETA

About TP ICAP Group

The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world’s leading provider of OTC data, and an award winning all-to-all trading platform. Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,300 people strong. We work as one to achieve our vision of being the world’s most trusted, innovative, liquidity and data solutions specialist.

About Parameta Solutions

Parameta Solutions is the Data & Analytics division of TP ICAP Group. The business provides clients with unbiased OTC content and proprietary data, in-depth insights across price discovery, risk management, benchmark and indices, and pre and post-trade analytics. Its post-trade solutions offering helps market participants control their counterparty and regulatory risks through a growing range of tools that manage balance-sheet exposure, as well as compression and optimisation services. The Data & Analytics division includes the following brands: Tullett Prebon Information, PVM Data Services, ICAP Information and Burton-Taylor Consulting.

Not The Perfect Fit?

Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us.

Company Statement

We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement.

Location

Spain - Paseo de la Castellana - Madrid

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada11 oct.

. Cloud Coumputing Machine Learning

• Location: Barcelona, Spain
  
  

About The Job

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

About Sanofi

Sanofi is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health, committed to chasing the miracles of science to improve people's lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

At Sanofi, we believe our people are our greatest strength, and we are committed to creating an inclusive environment where diverse perspectives drive innovation. Our values — Aim Higher, Act for Patients, Be Bold, and Lead Together — guide everything we do

Main Responsibilities

• Ensure Production Planning processes at Site level for all product families.
• Review and scale up all requirements related to Production Planning processes defined in the core model: from assessment to final proposal and implementation, allocation to the releases of system upgrades and all following phases managing to their adoption.
• Guarantee business requirements are covered and consistent between all streams for any new business need or E2E Project according to the Production Plan processes.
• Proactively improve and support all Upstream business processes for End to End Planning.
• Contribute to the implementation of the change management needed to support new processes and tools within Production Planning Process. Support buy-in of new processes and ways of working from business representatives.
• Create strong partnership with neighboring functions, mainly with SMS, Quality, Manufacturing and Downstream colleagues.
• Participate & animate a Multi Site Planning (MSP) Community of experts and key users representing all regions and business units of Sanofi.
• Deploy processes and solutions that meets the requirements of GBUs and Global Supply Chain Functions
• Provide the right level of support for Strategic projects.
• Support Sanofi on the Digital Transformation.
• Organized work to provide all deliverables with quality and on-time with the SMART SC – Supply Planning program.
• In Partnership with GBUs and Regional/Global functions, monitor the KPIs and propose improvements on the processes.
• Be a referent in Supply Chain for topics related to Production Planning OnSite within the Planning Domain.
• Contribute to reinforce PLAY to WIN culture within each area and create a good environment to work.
  
  

About You

• Master Degree in Business Management/Supply Chain or Logistics
• Successful experience Supply Planning Onsite.
• Project management skill are appreciated.
• Demonstrate a good track record in Multi-Site Planning, Manufacturing and Scheduling.
• Planning Area, preferably in a Pharmaceutical / Consumer Products industry
• Hands on experience on managing complex stream processes with experience of implementation
• Experience in tools like PP SAP (Athena), Kinaxis, Ortems or similar like SAP APO, Manugistics, E2open, etc.
• Experience translating business needs into process and implementation requirements in an IT implementation environment
• Experience working in supporting the business needs
• Strong expertise on Production Planning and Detailed Scheduling. (MPS / MRP)
• Ability to reach consensus
• Ability to create change management momentum, motivate/convince people
• Accountability, reliability and ability to work in transparency
• Strong Leadership
• Open minded and active listening
• Ability to perform independently and in a collaborative environment.
• Communication and interaction skills, including tact and diplomacy to exchange and escalade information throughout organization.
• Fluent in English, French/Spanish is a plus
  
  

Why choose us?

• Make a real impact — build tools and platforms that directly improve and save lives at a global leader in healthcare
• Work at the cutting edge — contribute to products deployed globally on a leading-edge tech stack at the intersection of software engineering, cloud architecture, data platforms, and AI
• Learn from the best — access world-class mentorship and training, working with renowned leaders and academics in machine learning, data, and software engineering
• Grow your career — discover diverse opportunities through promotions, lateral moves, or international assignments in a company that values your development
  
  

Pursue Progress. Discover Extraordinary.

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

#BarcelonaHub #SanofiHubs

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 oct.

. MongoDB Python TSQL NoSQL Scrum Cloud Coumputing Agile Big Data Machine Learning

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

A career within Data and Analytics Technology services, will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

PwC, Firma líder mundial en servicios profesionales, se encuentra en un continuo proceso de expansión y crecimiento de sus distintas líneas de negocio.

La División de Consulting está compuesta por más de 900 profesionales que ofrecen servicios de consultoría y asesoramiento empresarial en los ámbitos de Mejora de Procesos y de la Función Financiera, Operating Consulting, Asesoramiento y Planificación Estratégica, Analytics y Business Security Solutions.

En este contexto, queremos incorporar a nuestro equipo de Data&Analytics profesionales senior con perfil de Scrum Master para participar en innovadores proyectos para importantes clientes del sector público y privado.

Los profesionales seleccionados pasarán a formar parte del Hub de PwC en Málaga, Centro de Excelencia de tecnologías de Big Data & Analytics en España. Está formado por un equipo multidisciplinar de profesionales de primer nivel, incluyendo Arquitectos Software, Big Data y de Datos, Data Scientist, desarrolladores especializados en Frontend, Backend y Full Stacks, expertos en UX, y especialistas en plataformas Cloud, dando soporte tanto a necesidades internas de la compañía como a proyectos para terceros. En este centro se ha desarrollado y se gestiona un stack completo de Big Data que facilita el trabajo y análisis con grandes volúmenes de datos de forma rápida e intuitiva, lo que facilita la obtención de Insights monetizables por parte de los usuarios del mismo.

Perfil: profesional con 3 - 5 años de experiencia. Requisitos:

• Ingeniería Superior: Telecomunicaciones, Informática, Matemáticas o similar.
• Experiencia en tratamiento de grandes volúmenes de datos, en entornos tradicionales o Big Data.
• Conocimiento en marcos ágiles / scrum y éxito comprobado trabajando en un entorno ágil.
• Conocimientos en Python.
• Experiencia en desarrollo de modelos analíticos, machine learning, data mining.
• Integración de sistemas.
• Bases de datos, tanto NoSQL (Elastic Search, MongoDB,...) como relacionales (Postgre, SQL Server...)
• Herramientas de gestión de configuración e integración continua.
• Metodologías ágiles.
• Nivel alto de inglés
• Certificación CSM (Certified Scrum Master)
  
  

Education (if blank, degree and/or field of study not specified)

Degrees/Field Of Study Required

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

No

Job Posting End Date

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 oct.

. Java Python C++ Machine Learning

Description

At Amazon, we are committed to being the Earth’s most customer-centric company. The European International Technology group (EU INTech) owns the enhancement and delivery of Amazon’s engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects.

You will be joining the Tools and Machine Learning (Tamale) team. As part of EU INTech, we tackle complex, high-impact problems at the intersection of e-commerce, AI, and customer experience; going well beyond traditional ML pipelines. Our work spans multiple frontiers: we build GenAI-powered data solutions, enabling scalable and cost-efficient training data generation at Amazon scale. We design and deploy agentic systems for detecting and fixing quality issues across Amazon's retail surfaces. And we develop ranking and recommendation models for Haul shopping experiences.

We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading machine learning solutions. We strongly value your hard work and obsession to solve complex problems on behalf of Amazon customers.

Key job responsibilities

We look for applied scientists who possess a wide variety of skills. As the successful applicant for this role, you will with work closely with your business partners to identify opportunities for innovation. You will apply machine learning solutions to automate manual processes, to scale existing systems and to improve catalog data quality, to name just a few. You will work with business leaders, scientists, and product managers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services.

You will be part of team of scientists and engineers working on solving data quality issues at scale. You will be able to influence the scientific roadmap of the team, setting the standards for scientific excellence. You will be working with state-of-the-art models, including image to text, Multimodal LLMs and GenAI.

Your work will improve the experience of millions of daily customers using Amazon in Europe and in other regions. You will have the chance to have great customer impact and continue growing in one of the most innovative companies in the world. You will learn a huge amount - and have a lot of fun - in the process!

Basic Qualifications

• PhD, or a Master's degree and experience in CS, CE, ML or related field
• Experience in building models for business application
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  
  

Preferred Qualifications

• Experience in professional software development
  
  

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - Amazon Spain Services, S.L.U.

Job ID: A10574591

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 oct.

. Java Python C++ Machine Learning

Description

At Amazon, we are committed to being the Earth’s most customer-centric company. The European International Technology group (EU INTech) owns the enhancement and delivery of Amazon’s engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects.

You will be joining the Tools and Machine Learning (Tamale) team. As part of EU INTech, we tackle complex, high-impact problems at the intersection of e-commerce, AI, and customer experience; going well beyond traditional ML pipelines. Our work spans multiple frontiers: we build GenAI-powered data solutions, enabling scalable and cost-efficient training data generation at Amazon scale. We design and deploy agentic systems for detecting and fixing quality issues across Amazon's retail surfaces. And we develop ranking and recommendation models for Haul shopping experiences.

We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading machine learning solutions. We strongly value your hard work and obsession to solve complex problems on behalf of Amazon customers.

Key job responsibilities

We look for applied scientists who possess a wide variety of skills. As the successful applicant for this role, you will with work closely with your business partners to identify opportunities for innovation. You will apply machine learning solutions to automate manual processes, to scale existing systems and to improve catalog data quality, to name just a few. You will work with business leaders, scientists, and product managers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services.

You will be part of team of scientists and engineers working on solving data quality issues at scale. You will be able to influence the scientific roadmap of the team, setting the standards for scientific excellence. You will be working with state-of-the-art models, including image to text, Multimodal LLMs and GenAI.

Your work will improve the experience of millions of daily customers using Amazon in Europe and in other regions. You will have the chance to have great customer impact and continue growing in one of the most innovative companies in the world. You will learn a huge amount - and have a lot of fun - in the process!

Basic Qualifications

• PhD, or a Master's degree and experience in CS, CE, ML or related field
• Experience in building models for business application
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  
  

Preferred Qualifications

• Experience in professional software development
  
  

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 oct.

. C# Java Python Agile Cloud Coumputing TypeScript IoT DevOps Big Data Machine Learning

Are constantly looking to learn and have an interest in technical topicsare quick to understand and have an analytical mindsetenjoy solving complex customer problems as part of a teamhave a very good first or higher degree in a technical subject (computer science, physics, mathematics, etc.)possess IT knowledge and coding experienceare interested in artificial intelligence and machine learningare proficient in English, additional German or Spanish skills are an advantageYou ...are constantly looking to learn and have an interest in technical topicsare quick to understand and have an analytical mindsetenjoy solving complex customer problems as part of a teamhave a very good first or higher degree in a technical subject (computer science, physics, mathematics, etc.)possess IT knowledge and coding experienceare interested in artificial intelligence and machine learningare proficient in English, additional German or Spanish skills are an advantageYour role:Analysis of customer requirements, development and optimization of large and complex software systems with high personal responsibilityImplementation of automation processes and cloud infrastructureConsulting on and implementation of automated test environmentsDevelopment and conceptual integration of AI components such as Machine Learning models or LLMsIntroduction of agile processesOptionally, there are numerous opportunities to get involved within TNGOur offer:A demanding, academic environmentAn open-minded and team-oriented culture characterized by strong team spirit and flat hierarchiesContinuous education within our internal techdays (up to 10% of the working time) as well as external trainingsAttractive work-life balance with flexible working hours, paid overtime, 23 days of holiday, and little to no travelling expectedBe a part of our first team in our emerging location in SpainOpportunity to work flexibly and remotelySalary range: 32,200€ - 39,200€ per yearAbout UsAs a partnership-based IT consultancy, we work in a customer-oriented manner on a variety of projects in the areas of Agile Software Development, Artificial Intelligence, and DevOps & Cloud.

In addition, we work on topics in Big Data and IoT.

We mostly use Java and TypeScript, but also other programming languages, such as Python or C#.

TNG in Numbers:Revenue ****: ***** Mio.

€Current # of employees: >900Average Annual GrowthRate: 5-20%Academics ratio: ~ 99%Ph.D.

ratio: 50+%6x "Bayerns Best 50"In case of any questions, our recruiting team will be happy to assist you via ****** Technology Consulting GmbH**************** | : Beta-Straße 13 | ***** UnterföhringNational locations: Augsburg, Berlin, Hanover, Karlsruhe, and MunichInternational locations: Australia, Austria, Estonia, Hungary, Spain, Switzerland, United Kingdom, and USA#J-*****-Ljbffr