ph3Job Overview /h3 pAn 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. /p h3Responsibilities /h3 ul liDesign, develop, and maintain high-performance, scalable AI/ML infrastructure. /li liBuild and execute efficient ML pipelines and serve models at scale. /li liCollaborate closely with data scientists, data engineers, architects, and DevOps engineers to create production-ready solutions. /li liContinuously monitor and improve model performance, implementing monitoring, observability, and drift detection. /li liExpand knowledge of AI infrastructure and share insights to guide others. /li /ul h3Qualifications /h3 ul liStrong proficiency in Python and relevant libraries (NumPy, Pandas, Kserve, etc.); knowledge of additional languages like Go, C#, or SQL is a plus. /li liExperience with cloud platforms (Azure) and infrastructure-as-code tools (Terraform, Helm), CI/CD, GitOps (ArgoCD),



and containerization (Docker, Kubernetes). /li liFoundational understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and model evaluation techniques. /li liProficiency in data preprocessing, feature engineering, and experience with relational and vector databases. /li liExcellent analytical skills and the ability to interpret complex datasets and derive actionable insights. /li liExcellent verbal and written communication skills, with the ability to collaborate effectively with cross‑functional teams and stakeholders. /li liBachelor’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. /li /ul /p #J-18808-Ljbffr

📌 Senior/Lead Machine Learning Engineer (Madrid)
🏢 Ifs
📍 Madrid