Senior/Lead Machine Learning Engineer

IFS; Barcelona; Híbrido; EUR 55.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work opportunities

Inclusive workplace culture

Descripción de la vacante

IFS is seeking an ML Engineer in a hybrid Barcelona-based role to design, build, and deploy scalable AI/ML infrastructure and pipelines. You will work with data scientists, engineers, and DevOps to implement production-ready AI solutions and ensure observability and drift monitoring.

The ideal candidate has 3+ years in software development with ML frameworks and strong Python skills, plus cloud and DevOps experience in Azure, Terraform, Kubernetes, and CI/CD.

Formación

• Proven experience in Python and ML libraries; building ML pipelines.
• Strong cloud and DevOps familiarity with Azure, Terraform, Helm, and CI/CD.
• Experience with ML frameworks like TensorFlow, PyTorch or scikit-learn.

Responsabilidades

• Design and maintain scalable AI/ML infrastructure and pipelines.
• Deploy AI-driven solutions and monitor performance in production.
• Collaborate with data scientists, data engineers, and DevOps to deliver production-ready ML systems.

Conocimientos

Python

NumPy

Pandas

Kserve

Go

C#

SQL

Machine Learning fundamentals

Data preprocessing

Relational and vector databases

Analytical skills

English communication

Educación

Bachelor's or Master's in Computer Science/Software Engineering/Data Science

Herramientas

Azure

Terraform

Helm

CI/CD

GitOps (ArgoCD)

Docker

Kubernetes

TensorFlow

PyTorch

scikit-learn

Descripción del empleo

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 Scientists, 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 in English, 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.