Ofertes d'ocupació de Enginyer/a de Fiabilitat del Lloc a Barcelona

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteConsultor
• Publicada17 de jul.

Python LESS Machine Learning

Job Reference

406_25_ES_CES_RE1

Position

Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)

Closing Date

Sunday, 31 August, 2025

Reference: 406_25_ES_CES_RE1

Job title: Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)

About BSC

The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.

Look At The BSC Experience

BSC-CNS YouTube Channel

Let's stay connected with BSC Folks!

We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.

We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.

If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.

Context And Mission

The Barcelona Supercomputing Center (BSC) is seeking a Machine Learning Engineer to join the Earth Sciences department within the framework of the AI Factory initiative.

The AI Factory is a major European project aimed at accelerating the adoption and development of artificial intelligence across industry sectors that is deploying a comprehensive set of AI-focused services, including robust training, networking, and innovation support structures. Its mission is to foster the uptake and effective use of AI, particularly among SMEs and startups across participating countries, and to strengthen the European innovation ecosystem. These services are powered by the AI-specific partition of the MareNostrum5 supercomputer, one of the most advanced infrastructures in Europe, designed to meet the evolving AI needs by harnessing the latest AI-oriented computing technologies.

Within the Earth Sciences department, the selected candidate will support the development and deployment of AI services related to climate change use and test cases, contributing to real-world applications and scientific advancements. Additionally, the selected candidate will be coordinating the availability and integration of AI software, developed internally by consortium members or externally by third parties, on the MareNostrum5 AI partition, ensuring smooth support for the wider AI Factory user community.

Key Duties

• Support the documentation and curation of AI software employed in the AI Factory
• Support the deployment and maintenance of AI software on MareNostrum5 AI partition
• Design, implement, and optimize machine learning pipelines for environmental-related applications.
• Collaborate with domain scientists and external users to develop AI solutions
• Support users from the AI Factory in accessing and utilizing AI tools and services.
• Participate in collaborative development within the AI Factory consortium.
• Participate in technical reporting and scientific publications contributing to the documentation of the AI Factory software, with opportunities to be involved in academic publications and project reporting.
  
  

Requirements

• Education
• Bachelor's or Master’s in Computer Science, Machine Learning, Data Science, Environmental Sciences, or a related field.
• Essential Knowledge and Professional Experience
• Strong programming skills in Python, with experience in machine learning libraries such as PyTorch, Tensorflow, and Scikit-learn.
• Proven experience in developing and training machine learning models, particularly deep learning architectures.
• Strong background in handling, analyzing, and validating large-scale datasets.
• Experience working in a UNIX-based computational environment.
• Additional Knowledge and Professional Experience
• Familiarity with climate, weather, and Earth system datasets (NetCDF, Zarr).
• Experience in high-performance computing (HPC) and parallelized machine learning workflows.
• Proficiency in GPU-accelerated machine learning frameworks such as TensorFlow, RAPIDS, JAX, and/ or distributed training using Dask.
• Understanding of climate and weather models.
• Competences
• Strong problem-solving and analytical skills, with the ability to optimize computational workflows.
• Ability to work independently while collaborating effectively in a research environment.
• Excellent communication skills, with a strong ability to document and present research findings.
• Proficiency in written and spoken English.
  

Conditions

• The position will be located at BSC within the Directors Department
• We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
• Duration: 3 years
• Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
• Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
• Starting date: asap
  
  

Applications procedure and process

All applications must be submitted via the BSC website and contain:

• A full CV in English including contact details
• A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
  
  

Development of the recruitment process

The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:

• Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
• Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
  
  

The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.

In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.

The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.

At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact [email protected].

For more information, please follow this link.

Deadline

The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

OTM-R principles for selection processes

BSC-CNS 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). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.

BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.

For more information follow this link

Application Form

You are applying for the following job offer

Name and Surname *

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Where did you first see this job offer (Please indicate the name of the website, social media, referral etc.)? *

please choose one of this and if needed describe the option : - BSC Website - Euraxess - Spotify - HiPeac - LinkedIn - Networking/Referral: include who and how - Events (Forum, career fairs): include who and how - Through University: include the university name - Specialized website (Metjobs, BIB, other): include which one - Other social Networks: (Twitter, Facebook, Instagram, Youtube): include which one - Other (Glassdoor, ResearchGate, job search website and other cases): include which one

Indicate what BSC department/s you want to apply.

Computer Sciences

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• Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.
  
  

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• Flexibilitat horàriaSi
• Nivell d'experiènciaNivell intermitg
• Tipus de contracteA temps complert
• Publicada16 de jul.

C# Python C++ Machine Learning Office

Description -

Junior Machine Learning Engineer (GenAI Modelling)

The AI Lab (under the well-known Technology and Innovation Office) is responsible for bringing state-of-the-art research in Generative AI (and AI in general) to HP’s product portfolio to solve top user needs and enable all new type of user experiences. The team will be in two main locations: Sant Cugat (ESP) and Palo Alto (US). The AI Lab goal is to operationalize the Gen AI model lifecycle, build models to support the top initiatives within Personal Systems, and do research on Generative AI. We are looking for a Junior Machine Learning Engineer with expertise and passion in the Gen AI space.

The AI Lab is seeking an individual to join our team as an ML Engineer in our HP Sant Cugat R&D unit. The candidate will research and develop generative AI models and work with other team members and business unit partners to develop proof-of-concept prototypes and help move technologies to product. Also, the candidate should be able to collaborate with other scientists, developers, and product managers on new applications. Strong communication skills are required.

Responsibilities

• Help execute the technical strategy of the AI Lab with the goal of supporting HP ambitious AI roadmap.
• Support the application of new processes and standards to ensure that the teams are building high quality and safe models.
• Develop tooling to support the model lifecycle and encourages the use of best practices.
• Adopts state-of-the-art Gen AI modelling (finetuning) and evaluation techniques.
• Help develop strategic engineering proof of concepts in the Gen AI space.
  
  

What are we looking for?

• BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. MSc related to Generative AI would be a plus.
• Between 0 - 3 years of work experience, internships related to the job content would also be valuable. Exposure to Gen AI in previous projects / internships.
• Good communication and interpersonal skills, with the ability to collaborate effectively and learning with agility.
  
  

Knowledge & Skills

• Programming Language/s certification (Python, and C++ / C# is a plus).
• Knowledge of machine learning, deep learning, generative AI and statistical modelling.
• Finetuning or evaluation work pursued in generative AI and machine learning (LLMs, LVMs) development and deployment.
• Experience leveraging models from repositories such as Hugging Face.
• Experience with deep learning frameworks such as PyTorch.
• Optional: Contributions to the AI community (e.g., publications, patents, open-source projects, or participation in conferences and workshops).
  
  

What We Offer

• Opportunity to work in an international organization with colleagues coming from all over the world.
• Diverse, continued internal growth and career opportunities. Including HP’s own learning platform and LinkedIn Learning.
• An attractive benefits package:
• Health & Life insurance.
• Lunch at reduced prices at our canteen/ ticket restaurant vouchers.
• HP product discount.
• Work life balance / flexible working hours.
• Women, Pride, Young employees, Sustainability and DisAbility! Just a few of our fantastic global business networks you can get involved with locally.
• We also dedicate time and resources to contribute with our community through Corporate Volunteering activities, including our onsite HP Charity day.
• Do you like to give back to the community? Then join one of our many volunteering teams or be a part of the incredible HP charity day held on site annually.
• Love sports? Then take advantage of our sports center (indoor and outdoor) with 25+ regular coordinated activities.
• We have an onsite Doctor and medical team for our employees, including services such as: nutrition, physiotherapy, and general health.
• Printing Happy hour – from photographs to large posters. And Hands-on workshops to print with the latest technology – from wall covers to 3D printed models.
• Our Women Network organizes activities such as Networking, the promotion of STEM vocations, talks on, improving business acumen, work life balance and skills of the future, etc.
  

Job -

Software

Schedule -

Full time

Shift -

No shift premium (Spain)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada16 de jul.

Teletreball Python Jenkins Cloud Coumputing Kubernetes Groovy AWS

Buscamos un Site Reliability Engineer (SRE) proactivo y cualificado para incorporarse a un equipo especializado en el sector seguros. Si te apasiona garantizar la estabilidad y fiabilidad de los sistemas, resolver incidencias y trabajar con tecnologías punteras, esta es tu oportunidad.

¿Qué harás?
Responder y resolver incidencias reportadas a través de ServiceNow, asegurando una gestión ágil y eficaz.
Colaborar con equipos multidisciplinares para identificar causas raíz y aplicar soluciones definitivas.
Monitorizar el rendimiento de sistemas usando Dynatrace, anticipándote a posibles problemas.
Crear y mantener dashboards y alertas para asegurar la máxima disponibilidad y rendimiento.
Realizar acciones básicas de mantenimiento y gestión en infraestructuras Kubernetes.
Apoyar el despliegue, configuración y administración de aplicaciones en entornos contenerizados.
Participar activamente en la mejora continua de procesos y herramientas.

Requisitos imprescindibles
Mínimo 3 años de experiencia en roles similares enfocados en ingeniería de confiabilidad del sitio (SRE) o en operaciones IT.
Dominio en resolución y seguimiento de incidencias con ServiceNow.
Experiencia práctica con herramientas de monitorización como Dynatrace (o similares).
Conocimientos básicos y experiencia en Kubernetes y orquestación de contenedores.
Inglés fluido, tanto hablado como escrito.
Capacidad analítica y orientada a la resolución de problemas.
Habilidades comunicativas y de trabajo en equipo.
Autonomía y responsabilidad en la gestión diaria.

Valorable (no imprescindible)
Experiencia en scripting para automatización (Python, Groovy u otros).
Conocimientos en plataformas cloud, especialmente AWS.
Familiaridad con herramientas CI/CD como Jenkins o GitHub Actions.

¿Qué ofrecemos?
Integrarte en un equipo de alto rendimiento en un entorno innovador.
Flexibilidad horaria para conciliación y mejor calidad de vida.
Proyectos retadores en un sector sólido y en crecimiento como el asegurador.
Formación continua y posibilidad de desarrollo profesional.
Condiciones económicas competitivas.

Fomentamos un ambiente de trabajo multicultural e inclusivo, no discriminamos por edad, género o creencias; así como ofrecemos igualdad de oportunidades a todo el personal.
Desarrollamos nuestras actividades bajo los principios del cuidado del medioambiente, la sostenibilidad y la responsabilidad social corporativa; colaborando en proyectos de reforestación y sostenibilidad.
Apoyamos los 10 principios del Pacto Mundial y los 17 Objetivos de Desarrollo Sostenible, en materia de derechos humanos, condiciones laborales, medio ambiente y anticorrupción.
Los procesos de reclutamiento se desarrollan bajo altos estándares de calidad definiendo la incorporación en base a la experiencia y habilidades del candidato.
Somos una empresa española líder en servicios tecnológicos y atracción del talento presente en el mercado desde 1995. Contamos con más de 600 empleados en proyectos tanto nacionales como internacionales en sector TI.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada14 de jul.

Teletreball Python Cloud Coumputing AWS DevOps Terraform

Job Title: DevOps Administrator – AWS & Terraform
Location: Barcelona preferred (Remote flexibility available)

Position Overview:
We are looking for a highly skilled DevOps Engineer with deep expertise in AWS cloud infrastructure, Terraform, and
CI/CD pipelines. The ideal candidate will have a strong engineering background, experience designing secure and
scalable cloud solutions, and a proactive mindset toward automation, security, and monitoring. Advanced English
proficiency is essential for this role.

Key Responsibilities:
• Design and implement secure, scalable infrastructure using AWS services and Terraform (IaC).
• Architect and manage multi-account AWS environments using Landing Zone principles.
• Apply AWS networking and security best practices to ensure highly secure deployments.
• Develop and maintain CI/CD pipelines using GitLab and GitLab-CI.
• Write high-quality, maintainable code in Python for automation and tooling purposes.
• Support containerized and serverless application deployment using Fargate, Lambda, and related AWS tools.
• Implement and manage DevSecOps practices, including Shift-Left security, SAST, and compliance services
(AWS Config, Inspector, etc.).
• Manage observability tools and implement logging, monitoring, and alerting best practices using CloudWatch,
Prometheus, Grafana, Splunk, and PagerDuty.
• Support integration of SIEM solutions, preferably Splunk, for security insights and monitoring.

Required Qualifications:
• 5–7 years of experience in DevOps or cloud engineering roles.
• Expertise in AWS infrastructure, including security, networking, IAM, WAF, Transit Gateway, and KMS.
• Deep knowledge of Terraform for Infrastructure as Code design and deployment.
• Strong experience with GitLab, GitLab-CI, and CI/CD pipeline design.
• Proficiency in Python for scripting and infrastructure automation.
• Familiarity with DevSecOps methodologies and security automation.
• Experience with serverless and containerized architectures.

Preferred Qualifications:
• Experience with SBOM and secure software supply chain management.
• Background in large-scale monitoring and alerting systems using AWS native tools and third-party solutions.
• Familiarity with Splunk for log analysis and SIEM integration.
• Advanced problem-solving skills and ability to work independently in a fast-paced environment.

Languages:
• English: Advanced (Required)

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada14 de jul.

Teletreball Linux Cloud Coumputing Kubernetes Ansible Microservices Jira AWS DevOps Redis Terraform

Job Title: Systems Administrator | DevOps Kubernetes
Location: Barcelona (100% Remote)

Job Description
We are seeking a highly skilled Systems Administrator with strong DevOps and Kubernetes expertise to join a
dynamic cloud infrastructure team. The ideal candidate will have deep experience in Linux environments, automation,
container orchestration, and cloud technologies, particularly AWS.
This role focuses on ensuring operational excellence through effective incident, vulnerability, problem, and change
management following the ITIL4 framework. You´ll be expected to support cloud-native architectures and implement
scalable and secure solutions using cutting-edge DevOps tools and practices.

Key Responsibilities
• Manage and resolve incidents, vulnerabilities, problems, and changes in accordance with ITIL4 standards.
• Provide specialized technical support for cloud infrastructures with emphasis on AWS and Kubernetes.
• Administer and optimize containerized services using Kubernetes, EKS, and microservices tools.
• Automate operational tasks using Terraform (mandatory), with additional scripting via Ansible and Packer.
• Monitor infrastructure using Prometheus (Alertmanager), Grafana, CloudWatch, and the ELK stack.
• Support and optimize PostgreSQL/MySQL databases under AWS RDS.
• Improve caching systems like Redis (ElastiCache).
• Implement and maintain security and compliance measures using AWS Security Hub and AWS Config.
• Create and maintain technical and procedural documentation in Confluence.
• Manage projects and incidents via Jira and Jira Operations.
• Handle advanced Linux server administration and real-time process/network debugging tools such as ps,
top, strace, tcpdump, netstat, etc.
• Configure and manage AWS infrastructure (EC2, IAM, S3, RDS, Route53, Lambda, CloudWatch).
• Administer cloud networking: VPC, NAT, NACL, Security Groups, ALB/NLB and troubleshoot
routing/visibility.
• Maintain and monitor systemd services and support hybrid environments.
• Participate in an on-call rotation (1/month) to support 24/7 operations.

Requirements
• Profile: Systems Administrator
• Expertise: DevOps, Kubernetes, AWS, Linux Systems
• Education: Bachelor´s Degree in Engineering or related technical field
• Languages: English (minimum B2 level proficiency)
• Experience: 3 to 5 years of professional experience in similar roles

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada14 de jul.

Python Agile TSQL Docker Cloud Coumputing Kubernetes Ansible Git AWS R DevOps QA Terraform LESS Machine Learning Office

We are looking for a DevOps Engineer to join our new Enterprise AI platform team.

This is an exciting opportunity to be part of a high-impact, highly technical group focused on solving some of the most challenging machine learning problems in theLife Sciences & Healthcare industry. You will bring proven experience in AWS cloud environments and a strong track record of designing and deploying large-scale production infrastructure and platforms.

You will play a critical role in shaping how we use technology, machine learning and data to accelerate innovation. This includes designing, building and deploying next-generation data engines and tools at scale.

This is a hybrid role, with an expectation of working from the Barcelona office one day per week.

#LI-DNI#EasyApply

Responsibilities
- Develop and maintain the essential infrastructure and platform required to deploy, monitor and manage ML solutions in production, ensuring they are optimized for performance and scalability
- Collaborate closely with data science teams in developing cutting edge data science, AI/ML environments and workflows on AWS
- Liaise with R&D data scientists to understand their challenges and work with them to help productionize ML pipelines, models and algorithms for innovative science
- Take responsibility for all aspects of software engineering, from design to implementation, QA and maintenance
- Lead technology processes from concept development to completion of project deliverables
- Liaise with other teams to enhance our technological stack, to enable the adoption of the latest advances in Data Processing and AI

Requirements
- Significant experience with AWS cloud environments is essential. Knowledge of SageMaker, Athena, S3, EC2, RDS, Glue, Lambda, Step functions, EKS and ECS is also essential
- Modern DevOps mindset, using best DevOps tools, such as Docker and Git
- Experience with infrastructure as code technology such as Ansible, Terraform and Cloud Formation
- Strong software coding skills, with proficiency in Python, however exceptional ability in any language, will be recognized
- Experience managing an enterprise platform and service, handling new client demand and feature requests
- Experience with containers and microservice architectures e.g., Kubernetes, Docker and serverless approaches
- Experience with Continuous Integration and building continuous delivery pipelines, such as CodePipeline, CodeBuild and Code Deploy
- GxP experience
- Excellent communication, analytical and problem-solving skills

Nice to have
- Experience building large scale data processing pipelines e.g., Hadoop/Spark and SQL
- Use of Data Science modelling tools e.g., R, Python and Data Science notebooks (e.g., Jupyter)
- Multi cloud experience (AWS/Azure/GCP)
- Demonstrable knowledge of building MLOPs environments to a production standard
- Experience on mentoring, coaching and supporting less experienced colleagues and clients
- Experience with SAFe agile principles and practices

We offer
- Private health insurance
- EPAM Employees Stock Purchase Plan
- 100% paid sick leave
- Referral Program
- Professional certification
- Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

- Why Join EPAM
- WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
- CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
- CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
- STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada13 de jul.

Java Python TSQL Linux Scala AWS Power BI Spark Big Data Machine Learning Tableau Office

Smadex

is a leading advertising technology company founded in Barcelona in 2011 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years.

We compete in a highly advanced technology-driven industry where Machine Learning and cutting-edge cloud-based big data architectures are the biggest factor in achieving the company’s growth.

Our mission is to continue to improve our ad-tech platform to help our clients achieve their programmatic advertising campaign goals, and we want to give our employees a job they’ll love, where they will be challenged to improve results through real-life engineering and data analysis and where everyone’s implication has an impact.

Are you ready to be part of the new unicorn? Keep reading!

What Will You Do

You will be part of all the major architectural decisions and developments we make on our algorithms, especially in our state-of-the-art deep learning models.

• You will be responsible for proposing and developing new models, measuring the performance and improving our algorithms. Our ML Engineer role combines the classic "ML Scientist" and "Data Engineer" role at other companies
• You will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions to challenge business issues, as well as working closely with our Tech and Ops team
• You will work on unique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity and labeling delay.
• Analyse data from different sources and provide actionable insights to business and engineering stakeholders
  
  

Please note that we do NOT provide VISA sponsorship. Candidates without a legal permit to work in Spain won't be considered.

What You Need To Have

Very strong coding ability in at least one of the following: Python, Scala, Java

• Knowledge of Bitbucket/Git version tools
• Experience in machine learning and predictive modelling: deep neural networks, logistic regression, clustering and time series analysis & auto-regressive models
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical significance tests)
• Experience working with SQL and data warehousing
• Problem solving oriented mentality and a very proactive approach
• Self-motivated with the ability to work independently and sense of accountability
• Detail-oriented, well organized, and able to multi-task in a results-oriented business environment
• Excellent communication skills both verbal and written
• Fluency in English.
  
  

Extra points for :-)

Master’s degree in Machine Learning, AI, Statistics, Applied mathematics, Computer Science

• Proficiency in building high-performance algorithms in production
• Experience with transformer architectures and LLMs.
• Experience with reporting and data visualization tools such as Jupyter Notebook, Zeppelin, Tableau, Periscope, PowerBI or others
• Experience in digital marketing platforms and user acquisition
• Experience with and Apache Spark and Nodejs programming language
• Familiarity with AWS services such as EMR, EC2, Athena, S3, Redshift
• Used to Linux environments
  
  

Reward Package

Integrate a highly motivated and young team

• Great compensation package
• Top location at the heart of Barcelona in a penthouse office with a rooftop terrace, Barbeque, and a fully stocked fridge
• Great work-life balance: 2 days working from home, flexible hours
• LinkedIn Learning and training opportunities
• Meal vouchers - Tickets Restaurant monthly allowance
• Monthly gym allowance to use in up to 30 DIR gyms around the city
• Monthly TGIF events
• Regular team-building events
• Fun and friendly work environment with talented marketers and engineers from over 21 countries
• And more!

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada9 de jul.

Python Agile Cloud Coumputing AWS Machine Learning

Company Description

NielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects.

Job Description

Job Description:

As a Machine Learning Engineer you will have following key accountabilities:    

• Design, develop, test, deploy, maintain and enhance Machine Learning solutions using best software engineering practices 
• Implement machine learning solutions / pipelines which can scale, in cloud-based environments (AWS) utilizing containerized applications, distributed processing frameworks, CI/CD tools, airflow/ other orchestration tools, terraform/ other IAAC tools, monitoring solutions like Grafana 
• Optimize data science and machine learning models using code optimization, high performance computing 
• Define and implement best practices in Media Measurement’s Data Science solutions with a focus on end-to-end management of the model lifecycle using MLOps practices  
• Actively share Data Science knowledge within our organization and represent NIQ’s Data Science expertise at conferences and workshops 
  
  

Qualifications

Qualifications

Now you know what a Machine Learning Engineer does. What skills, qualifications & experience do you need for this job?   

• Ability to fluidly communicate in an English business environment 
• PhD or master's degree that reflects computer science/engineering and statistical/mathematical skills and 4+   years of experience 
• Solid programming skills in languages such as Python and the respective Machine Learning ecosystem  
• Solid computer science/engineering fundamentals, including data structures, algorithms, computability and complexity and computer architecture, software design principles and patterns and testing strategies 
• Solid expertise in distributed computing in the cloud, dealing with enormous amounts of data and distributed computations 
• Knowledge of Math, Statistics and Machine Learning (e.g., statistical tests, classification, predictive modelling, handling of missing data, sampling, weighting) 
• Working experience with agile development practices is a plus 
  
  

Admittedly, this is a long list and we do not expect you to be able to tick off every single point on it. Learning on the job and formal trainings will help you to close potential knowledge gaps and quickly bring you up to speed.  

Additional Information

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)
  
  

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada7 de jul.

Javascript API Java Agile Docker Cloud Coumputing Kubernetes Ansible Jira DevOps Excel Terraform

Position Overview Team/Bereich

The Online Tribe at Deutsche Bank Private Bank Germany is responsible for the digital customer access channels and services offered by Deutsche Bank and Postbank. The Tribe’s application portfolio consists of modern cloud-driven Online Banking & Brokerage customer services, administration frontends used by internal employees as well as further customer-oriented innovative solutions. We work in an agile environment, with a focus on customer centricity and outstanding user experience, and with high reusability and flexibility of technical solutions in mind. Our fundamental is that the highest application availability, scalability, technology- and security standards are a must. With our platform we want to be an enabler for highest quality cloud-based software solutions and processes at Deutsche Bank.

Tasks/Aufgabenbeschreibung

• As Site Reliability Engineer you contribute to the overarching implementation and operation of Deutsche Bank’s Online Banking platform in the Google Cloud, with hands-on support of the Investments feature squads, based on the paradigm "you built it you run it" with focus on various digital investments processes.
• Utilize your experience, technical knowledge and DevOps mindset in driving platform optimization and preventive measures.
• Through Automation, CI/CD and application monitoring, ensure scaleability, availability and performance of the application.
• Prevent problems proactively through countinous monitoring of overall system health, and identify portential weak points of the architecture and infrastructure. Actively support incident analysis in case of any production irregularities through investigating possible root causes and suggesting solutions
• Through collboration with the squad’s Product Owner and engineers help to identifiy the priority measures, define SLIs & SLOs, and ceate effective strategies for maintaining and improving system performance and availability.
• Support Release deployments and iteratively enhance current deplyoment procedures and pipelines.
• Act as a multiplicator for Site Reliability Engineering and Cloud-Knowhow in the SRE chapter, setting best pracices.
  
  
  

Skills & Experience/ Fähigkeiten & Erfahrungen

• Expert knowledge and hands-on experience with applications run cloud ecosystems such as Google Cloud as well as with Docker / Kubernetes in combination with with GKE or similar technology, automation and CI/CD, Terraform/Terragrunt, Terraform Enterprise, Ansible and Github.
• Advandced experience in monitoring for instance with OpsGenie, New Relic, DataDog, Splunk, Google Operations-Suite.
• Very good knowledge of security standards (e.g.: TLS, OAuth2, KMS, Vault, Admission Controllers, let's encrypt), microservice architectures and experience with API Management with Apigee or WSO2.
• Experience in software development in JAVA and/or JavaScript und in using tools such as TeamCity, BitBucket, Artifactory, SonarQube, VeraCode, Crucible, JIRA, Confluence or Service Now.
• Proactive attitude and collaborative Team player mindset paired with self confidence.
• Not loosing your cool and keep your eye for details even in stressful situations where time matters.
• Having a creative approach towards solving technical problems.
• Excellent communication skills in English.
  
  
  

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.