20 publicaciones de empleo destacadas de lead machine learning engineer en madrid, md (¡Están contratando!)

Senior/Lead Machine Learning Engineer
IFS —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Solicitud rápida
Senior Machine Learning Engineer
Expedia —Madrid, Madrid provincia
- De 70.000 € a 112.000 € al año
- Jornada completa
- Informática
- Máster
- AWS
- Seguro dental
- Vacaciones pagadas
AI Research Engineer (Pre-training - LLM & Multi-Modal)
Tether Operations Limited —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Doctorado
- Informática
- Inglés
Mid Data Practitioner (Data / Analytics Engineering) - BCN/ MAD/ MUC
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- SQL
- AWS
Solicitud rápida
Associate AI Engineer (6-month contract)
Board International —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Sistemas ERP
Solicitud rápida
Senior Data Practitioner (Data / Analytics Engineering) - BCN/ MAD/ MUC
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- SQL
- AWS
Solicitud rápida
Specialist IoT Cloud Engineer Lead
Vodafone —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Informática
- DevOps
- Máster
- Seguro de vida
- Plan de pensiones
Senior Machine Learning Engineer
Getnet —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Doctorado
- Informática
- Seguro dental
- Seguro de vida
Solicitud rápida
5d
QA Engineer - Senior/Mid- Munich/ MAD/ BCN
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- SQL
- Machine learning
Solicitud rápida
1d
Cybersecurity Engineer for Network Security AI
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- AWS
GPO DTS Planning
Sika —Madrid, Madrid provincia
- De 60.000 € a 80.000 € al año
- Jornada completa
- Microsoft Excel
- Máster
- Machine learning
Solicitud rápida
Lead AI/ML Engineer - BCN/MAD
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Oficina
- Máster
Solicitud rápida
Senior Applied Scientist
TomTom —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Machine learning
- Liderazgo
Solicitud rápida
Applied AI Engineer
Revolut —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Oficina
- SQL
- Machine learning
Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation
Amazon EU SARL (Spain Branch) —Madrid, Madrid provincia
- Jornada completa
- SQL
- AWS
- Machine learning
Expert Consultant, Coro, AI Engineer
Bain & Co. —Madrid, Madrid provincia
- De 128.500 € a 171.500 € al año
- Jornada completa
- Azure
- Doctorado
- Informática
- Seguro dental
- Vacaciones pagadas
Solicitud rápida
AI Architect (Agentic AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Máster
Customer Engineer, Security, Google Cloud (English, Spanish)
Google —Madrid, Madrid provincia
- De 88.000 € a 90.500 € al año
- Jornada completa
- Trabajo híbrido
- Español
- Ventas
- Inglés
Lead AI Engineer (Agentic Systems)
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Informática
6d
MID AI/ML Engineer - BCN/MAD/Munich
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- Máster
- Machine learning
Solicitud rápida
5d

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Senior/Lead Machine Learning Engineer

IFS -
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Cualificaciones

TensorFlow
CI/CD
Azure
Informática
Visión artificial
Software empresarial
DevOps
C#
Git
Máster
SQL
Habilidades de análisis
Docker
Grado
Machine learning
Terraform
Deep learning
Desarrollo de software
Cloud
Inteligencia artificial
Habilidades de comunicación
Python

Descripción completa del empleo

Company Description

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

Job Description

An ML engineer at IFS is part software engineer, part dev ops engineer and ML savvy, who combines knowledge of systems and applications, machine learning and artificial intelligence to build and deploy AI-driven solutions. The work is focused on designing and maintaining high-performance, scalable AI/ML infrastructure, building, and executing ML pipelines efficiently, serving models at scale, and creating the tools for continuous monitoring and improvements.

Someone in this role uses their technical know-how to translate high-value and innovative AI opportunities into deployable and sustainable products. ML engineers are well-versed on AI/ML techniques, ranging from statistical learning, computer vision to generative AI. They have strong foundations in software engineering, ML algorithms and mastered several AI/ML serving frameworks. ML engineers work in close collaboration with data scientists, data engineers, architects, and DevOps engineers, on the creation and deployment of highly scalable infrastructure and AI-driven solutions.

ML engineers act as AI infrastructure experts in the development of production-ready, scalable ML pipelines and AI-driven solutions along with our data scientist, data engineers, domain experts, partners, and clients.

In addition, ML engineers at IFS continuously expand their knowledge of AI infrastructure, model monitoring/observability and drift detection, functional and business process domain knowledge and share this knowledge to guide others.

Qualifications

Required Skills:

Programming Skills: Strong proficiency in Python and experience with relevant libraries (NumPy, Pandas, Kserve, etc.). Knowledge of additional languages like Go, C#, or SQL is a plus.
Cloud Platforms & Dev Ops: Familiarity with cloud computing platforms (Azure), infrastructure as code (terraform, helm charts), CI/CD, Git Ops with ArgoCD and containerization technologies (Docker, Kubernetes).
AI/ML Fundamentals: Foundational understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and model evaluation techniques.
Data Handling: Proficiency in data preprocessing and feature engineering. Experience with relational and vector databases.
Analytical Skills: Excellent analytical skills, with the ability to interpret complex datasets and derive actionable insights.
Communication Skills: Excellent verbal and written communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders
Education and Experience: A bachelor's or master's degree in Computer Science, Software Engineering, Data Science, or a related field, with at least 3+ years of experience in software development, including some experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

Additional Information

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.

In Industrial and Financial Systems Central and Eastern Europe Sp. z o.o., based in Warsaw, the Whistleblowing Procedure is in effect, outlining the methods for reporting legal violations, rules for accepting internal reports and taking follow-up actions, as well as the principles for protecting whistleblowers. Reports can be submitted through the application at https://report.whistleb.com/pl/ifs, available on the website https://www.ifs.com/.

Solicitud rápida

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