Senior Product Software Engineer - Machine Learning Python Software Enginee

at  Wolters Kluwer

We are currently looking for a Senior Product Software Engineer, for a growing Line of Business, within TAA division of WoltersKluwer.
The role:
Senior Product Software Engineer - Machine Learning Python Software Engineer Clearfacts

Duties and Responsibilities:

• Develop, test, deploy, and optimize existing or new machine learning applications within the Clearfacts SaaS platform.
• Support model monitoring activities to maintain the health of ML systems in production.
• Collaborate with machine learning professionals to develop reusable data extractions for model training, simulations for model evaluation, hyperparameter tuning, and other ML development steps.
• Participate from time to time in ML experiments and model tuning.

Qualifications and Skills:

• Bachelor or Master in Computer Science, Software Engineering, or a related technical field, or equivalent professional experience.
• Minimal 3 years of professional experience in software development and deployment using Python, with knowledge of ML libraries such as PyTorch, Transformers, and Scikit-learn.
• Familiar with the ML lifecycle, with an emphasis on MLOps, knowledge of AWS Lambda functions is a plus.
• Comfortable developing data pipelines, for example, creating PySpark jobs on EMR using S3 and RDS (MySQL/PostgreSQL) as data sources.
• You are comfortable using modern development tools such as Git, CI/CD pipelines, IDEs, Jira, and Confluence
• Experience or interest in ML model training and tuning is a plus
• Knowledge ONNX is a plus.
• You enjoy working in small, agile teams, collaborating and sharing knowledge, and are eager to learn new tools and techniques
• You communicate effectively in English, knowledge of Dutch is a plus

Our Offer:
You will join a dynamic environment! The position offers plenty of variety and independence. You will work with new methodologies, technologies, and tools. You can rely on an international team of experts and receive support for continuous learning. After a training period, a work-from-home system will apply.
In addition to a market-based salary, supplemented with various additional benefits, Wolters Kluwer continually invests in the growth and skills of its employees and aims to provide them with every opportunity to develop their potential.
Location: Berchem
Hybrid

• Develop, test, deploy, and optimize existing or new machine learning applications within the Clearfacts SaaS platform.
• Support model monitoring activities to maintain the health of ML systems in production.
• Collaborate with machine learning professionals to develop reusable data extractions for model training, simulations for model evaluation, hyperparameter tuning, and other ML development steps.
• Participate from time to time in ML experiments and model tuning