Senior/Lead Machine Learning Engineer

Hace 5 días

Madrid, Comunidad de Madrid, España IFS Jornada completa 45.000 € - 65.000 € Por obra

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.