20 publicaciones de empleo destacadas de data platform devops engineer en parla, md (¡Están contratando!)

Machine Learning Engineer Intern 100% (f/m/d)
Julius Baer —Madrid, Madrid provincia
- Jornada completa
- Informática
- DevOps
- Máster
6h
Backend Engineer
Embat —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Microsoft Excel
- Informática
Solicitud rápida
Staff Backend Engineer
Sparta —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- DevOps
- Oficina
- Java
Staff Software Engineer
Equinix —Madrid, Madrid provincia
- Jornada completa
- DevOps
- Inteligencia artificial
- Python
Frontend Engineer
Embat —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Microsoft Excel
- Informática
Solicitud rápida
Software Development Engineer II
Expedia —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
- Seguro dental
- Vacaciones pagadas
Software Development Engineer - Cronos
IQVIA —Madrid, Madrid provincia
- Informática
- DevOps
- SQL
Staff React Engineer (TypeScript + AI Experience)
Wizeline —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- DevOps
Senior AI Backend Engineer
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Informática
- DevOps
AI Solutions Builder
Smartcat —Madrid, Madrid provincia
- Teletrabajo
- CRM software
- Ventas
- DevOps
Solicitud rápida
Expert Manager, Software Engineering (Full Stack)
Bain & Company Inc —Lisboa
- Jornada completa
Senior Python Engineer - Backend (All Genders)
zooplus SE —Madrid, Madrid provincia
- De 45.400 € a 68.000 € al año
- Jornada completa
- Trabajo híbrido
- Oracle
- DevOps
- Inglés
Solicitud rápida
Senior Software Development Engineer in Test
Solera —Madrid, Madrid provincia
- Jornada completa
- Informática
- DevOps
- Java
Automation Engineer (Information Security)
Gelato —Madrid, Madrid provincia
- Jornada completa
- Informática
- DevOps
- Inglés
Solicitud rápida
1d
Full Stack Engineer
Amino & 24i —Madrid, Madrid provincia
- Trabajo híbrido
- DevOps
- SQL
- AWS
Solicitud rápida
Software Development Engineer in Test III
Solera —Madrid, Madrid provincia
- Jornada completa
- Informática
- DevOps
- Java
Senior/Lead Machine Learning Engineer
IFS —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Solicitud rápida
9d
Senior Data Engineering (Tech Lead)
Nexthink —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Informática
- DevOps
- Vacaciones pagadas
Solicitud rápida
Senior QA & Reliability Engineer, Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
- Jornada completa
- Azure
- DevOps
- Inglés
13d
Applications Backend Engineer (f/m/d)
Axpo —Madrid, Madrid provincia
- Media jornada
- Español
- Azure
- DevOps
14d

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Machine Learning Engineer Intern 100% (f/m/d)

Julius Baer -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa
Hace 6 horas

Cualificaciones

TensorFlow
Derecho
Informática
DevOps
Git
Máster
Grado
Machine learning
Desarrollo de software
Python
Debugging

Descripción completa del empleo

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

We are seeking a motivated intern to join one of our agile development teams in our ML & AI ART. This role is ideal for a final-year university student or a Master's student specializing in AI or a related field. You will support the design, development, and deployment of AI solutions within a DevOps environment, while gaining hands-on experience across the full lifecycle—from concept to production.
You will collaborate closely with experienced engineers and cross-functional teams to deliver impactful digital solutions and continuously grow your technical skills.

YOUR CHALLENGE

Support the development, deployment, and optimization of machine learning and AI solutions addressing business challenges
Assist in building and experimenting with multi-agent systems and AI models with function/tool-calling capabilities
Contribute to the design and implementation of RAG systems to connect AI models with enterprise data
Help evaluate and integrate AI models (e.g. LLMs) under guidance, focusing on performance and reliability
Support the optimization of AI agents and workflows for real-world applications
Assist in testing and refining system prompts and few-shot examples to improve output quality and consistency
Contribute to the evaluation of machine learning models using appropriate metrics and datasets, and support iterative improvements
Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate AI solutions into systems
Participate in code reviews, testing, and debugging to ensure quality and reliability while learning best practices

YOUR PROFILE

Strong analytical and problem-solving skills, with curiosity and willingness to learn
Good communication and collaboration skills, with the ability to work effectively in a team environment
Ability to manage tasks, prioritize learning objectives, and meet agreed timelines
Growth mindset with strong interest in machine learning, AI, and emerging technologies
Attention to detail and commitment to writing clean, maintainable code
Bachelor’s (final year) or Master’s student in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related field
Basic to intermediate programming skills in Python, with exposure to machine learning libraries and frameworks such as TensorFlow or PyTorch
Familiarity with Large Language Models (LLMs) through coursework, personal projects, or internships
Basic understanding of AI agents, LLM orchestration concepts, and prompting techniques
Knowledge of data preprocessing, feature engineering, and model evaluation concepts
Understanding of fundamental mathematical and statistical concepts relevant to machine learning
Awareness of software development best practices such as version control (e.g. Git), testing, and documentation
Strong willingness to learn, experiment, and grow in a fast-paced environment
Previous internship, academic project, or hands-on experience in machine learning or data science is a plus

We are looking forward to receiving your full job application through our online application tool.

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