Senior AI/ML Engineer — Scalable Production Solutions

KLA-Belgium; Vlaams-Brabant; Sur place; EUR 75 000 - 110 000; Plein temps

Résumé du poste

KLA seeks a Software Engineer specialized in AI/ML, data science, and production-grade AI solutions to join our innovative technology team. You will design, train, and deploy models that address real business challenges and scale across large data workloads.

You will collaborate with data engineers, product managers, and software developers to translate complex requirements into robust, production-ready applications while advancing responsible AI practices.

Qualifications

• Master’s or Ph.D. in CS, Data Science, AI, or related field.
• Minimum of 3 years of AI/ML experience with deployments in production.
• Proficiency in Python or R and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Strong background in statistics, ML, deep learning, neural networks, and system architecture.
• Experience with cloud platforms, DevOps, and data processing technologies.
• Ability to lead technical projects and communicate with non-technical stakeholders.

Responsabilités

• Design, develop, and deploy AI/ML models to address business challenges.
• Architect scalable systems capable of handling large data volumes and complex workloads.
• Create production-ready AI/ML solutions with security and compliance considerations.
• Stay updated on AI/ML research; explore new methodologies and improvements.
• Collaborate with data engineers, product managers, and software developers to integrate solutions into products.

Connaissances

Python

R

TensorFlow

PyTorch

Scikit-learn

Statistics

Formation

Master’s or Ph.D. in Computer Science, Data Science, AI, or related field

Outils

Git

CI/CD pipelines

Docker

Kubernetes

Description du poste

KLA seeks a Software Engineer specialized in AI/ML, data science, and production-grade AI solutions to join our innovative technology team. You will design, train, and deploy models that address real business challenges and scale across large data workloads.

You will collaborate with data engineers, product managers, and software developers to translate complex requirements into robust, production-ready applications while advancing responsible AI practices.