Senior/Lead Machine Learning Engineer

IFS; Madrid; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

IFS in Madrid is seeking an experienced ML Engineer to design and maintain scalable AI infrastructure. You will develop and deploy ML pipelines and work closely with data scientists and engineers.

The ideal candidate has strong Python skills, cloud platform experience, and a solid understanding of machine learning concepts. The role requires excellent analytical skills and communication abilities for effective collaboration in a cross-functional environment.

Formación

• 3+ years of software development experience, including experience with AI/ML frameworks.
• Foundational understanding of machine learning concepts.
• Excellent analytical skills to derive actionable insights.

Responsabilidades

• Design, develop, and maintain high-performance AI/ML infrastructure.
• Build and execute efficient ML pipelines.
• Collaborate with cross-functional teams to create production-ready solutions.

Conocimientos

Python

Azure

Docker

Kubernetes

GitOps (ArgoCD)

Data Preprocessing

AI/ML frameworks (TensorFlow, PyTorch)

Educación

Bachelor’s or master’s degree in Computer Science, Software Engineering, Data Science, or related field

Herramientas

Terraform

NumPy

Pandas

Descripción del empleo

Job Overview

An ML engineer at IFS combines software engineering, DevOps, and AI/ML expertise to design and maintain scalable AI infrastructure, develop and deploy ML pipelines, and serve models at scale.

Responsibilities

• Design, develop, and maintain high-performance, scalable AI/ML infrastructure.
• Build and execute efficient ML pipelines and serve models at scale.
• Collaborate closely with data scientists, data engineers, architects, and DevOps engineers to create production-ready solutions.
• Continuously monitor and improve model performance, implementing monitoring, observability, and drift detection.
• Expand knowledge of AI infrastructure and share insights to guide others.

Qualifications

• Strong proficiency in Python and relevant libraries (NumPy, Pandas, Kserve, etc.); knowledge of additional languages like Go, C#, or SQL is a plus.
• Experience with cloud platforms (Azure) and infrastructure-as-code tools (Terraform, Helm), CI/CD, GitOps (ArgoCD), and containerization (Docker, Kubernetes).
• Foundational understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and model evaluation techniques.
• Proficiency in data preprocessing, feature engineering, and experience with relational and vector databases.
• Excellent analytical skills and the ability to interpret complex datasets and derive actionable insights.
• Excellent verbal and written communication skills, with the ability to collaborate effectively with cross‑functional teams and stakeholders.
• Bachelor’s or master’s degree in Computer Science, Software Engineering, Data Science, or a related field, with at least 3+ years of software development experience, including experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit‑learn.