Software Engineer - AI/ML
Leuven, Belgium
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingMonitor model performance post-deployment and iterate as necessary.
From the employer’s posting
Problem Solving: Apply critical thinking to solve complex problems, often requiring innovative approaches to data analysis, model architecture, system integration, and business strategy. Deployment and Monitoring: Oversee the deployment of AI/ML models into production environments, ensuring scalability, performance, and reliability. Monitor model performance post-deployment and iterate as necessary. Documentation and Knowledge Sharing: Document processes, methodologies, and findings. Share knowledge through internal presentations, workshops, or by contributing to our knowledge base.
What you’ll bring
All qualificationsCore experience
- Master’s or Ph.D. in Computer Science, Data Science, AI, or a related field.
- Proficiency in Python, R, or similar languages, with experience in libraries like TensorFlow, PyTorch, Scikit-learn, etc.
- Strong understanding of cloud platforms, DevOps practices, and data processing technologies.
- Demonstrated ability to lead technical projects and work effectively in matrix environments.
- Ability to communicate technical concepts to non-technical team members and business partners.
- Familiarity with software engineering best practices, including version control (Git), CI/CD pipelines, agile methodologies, and system design patterns.
Qualification wording
Master’s or Ph.D. in Computer Science, Data Science, AI, or a related field.
Proficiency in Python, R, or similar languages, with experience in libraries like TensorFlow, PyTorch, Scikit-learn, etc.
Strong understanding of cloud platforms, DevOps practices, and data processing technologies.
Demonstrated ability to lead technical projects and work effectively in matrix environments.
Ability to communicate technical concepts to non-technical team members and business partners.
Familiarity with software engineering best practices, including version control (Git), CI/CD pipelines, agile methodologies, and system design patterns.
Education & alternatives
Minimum Qualifications - Master’s or Ph.D. in Computer Science, Data Science, AI, or a related field. - Minimum of 3 (three) years of experience in AI/ML, with a proven track record of deploying solutions in a production environment.
Tools in this posting
- Python
- R
- PyTorch
- TensorFlow
- scikit-learn
Source — Tool mentions in context
- Minimum of 3 (three) years of experience in AI/ML, with a proven track record of deploying solutions in a production environment. - Proficiency in Python, R, or similar languages, with experience in libraries like TensorFlow, PyTorch, Scikit-learn, etc. - Strong background in statistics, machine learning algorithms, deep learning, neural networks, and system architecture.
Job description
Company Overview
Group/Division
Job Description/Preferred Qualifications
We are seeking a highly skilled Software Engineer with specialized expertise in Machine Learning, Artificial Intelligence, and Data Science to join our innovative technology team. This role will be key in developing impactful AI solutions that drive business transformation and technological advancement. The ideal candidate will combine strong technical skills with business intelligence to translate complex requirements into practical, scalable applications that deliver measurable impact.
Key Responsibilities:
AI/ML Solution Development: Design, develop, and implement machine learning models and AI algorithms to address business challenges. This includes data preprocessing, model training, validation, and deployment.
Scalable Architecture Design: Architect and design scalable systems that can handle large volumes of data and complex AI/ML workloads, ensuring high performance and reliability.
Production-Ready Solutions: Implement AI/ML solutions that are robust, maintainable, and ready for production environments. This includes considerations for security, compliance, and operational efficiency.
Innovation and Research: Stay abreast of the latest developments in AI, ML, and data science. Conduct research to explore new methodologies or improve existing ones, ensuring our solutions remain innovative.
Collaboration: Work closely with multi-functional teams including data engineers, product managers, software developers, and business partners to integrate advanced solutions into our products and services, ensuring alignment with business objectives.
Problem Solving: Apply critical thinking to solve complex problems, often requiring innovative approaches to data analysis, model architecture, system integration, and business strategy.
Deployment and Monitoring: Oversee the deployment of AI/ML models into production environments, ensuring scalability, performance, and reliability. Monitor model performance post-deployment and iterate as necessary.
Documentation and Knowledge Sharing: Document processes, methodologies, and findings. Share knowledge through internal presentations, workshops, or by contributing to our knowledge base.
Preferred:
Experience with specialized AI domains or industry-specific applications.
Contributions to open-source projects or research publications in AI/ML.
Knowledge of AI ethics and responsible AI practices.
Minimum Qualifications
Master’s or Ph.D. in Computer Science, Data Science, AI, or a related field.
Minimum of 3 (three) years of experience in AI/ML, with a proven track record of deploying solutions in a production environment.
Proficiency in Python, R, or similar languages, with experience in libraries like TensorFlow, PyTorch, Scikit-learn, etc.
Strong background in statistics, machine learning algorithms, deep learning, neural networks, and system architecture.
Strong understanding of cloud platforms, DevOps practices, and data processing technologies.
Demonstrated ability to lead technical projects and work effectively in matrix environments.
Ability to communicate technical concepts to non-technical team members and business partners.
Familiarity with software engineering best practices, including version control (Git), CI/CD pipelines, agile methodologies, and system design patterns.
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on kla.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Leuven, Belgium
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 11, 2026
- Recorded sightings
- 119
- Last seen by us
- Oct 9, 2026
- Employer says posted
- Jul 20, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.