Role overview
Basecone, a Wolters Kluwer Tax & Accounting Europe company, is a vibrant and dynamic place to work. We push boundaries and challenge each other every day. We collaborate across disciplines, trying to achieve that common goal: to develop, launch and maintain state-of-the-art Solutions. Solutions that effectively address real business problems and provide the best customer experience out there. Solutions that you and your team can be proud of at the end of the day.
At Basecone we believe our people are the heart and soul of our company. We value everyone’s input and believe in a commonly agreed commitment. We offer a no-nonsense environment, in which professionalism, fun and open communication are key elements.
What we're looking for
- Plan, design, develop, and maintain scalable and high-performing data pipelines and ML infrastructure
- Lead the development and deployment of machine learning services and APIs
Develop and maintain end-to-end (E2E) ML pipelines from data ingestion to model deployment
- Implement and maintain code quality standards, data quality checks, and comprehensive testing frameworks
- Work closely with Data Scientists to translate ML models into production-ready solutions
- Lead the implementation of MLOps best practices, including CI/CD for ML models
- Ensure smooth operation of ML projects and troubleshoot production issues
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
- Drive technical decisions and evaluate new technologies and software products
- Work within our GenAI platform framework for all generative AI implementations
- Push the team towards sprint goals in an Agile Scrum environment
Skills:
Required:
- Experience with Computer Vision and NLP techniques
- Familiarity with deep learning frameworks (TensorFlow, PyTorch)
- Knowledge of data science frameworks like Scikit-Learn and Pandas
- Experience with infrastructure as code (Terraform, CloudFormation)
- Experience with asynchronous messaging
- Understanding of monitoring and observability tools for ML systems
Competencies:
- Leadership & Initiative: Ability to lead technical initiatives and drive projects to completion
What we offer:
- Very competitive salary. We want to build a great team, and we want to get those who are the best at what they do.
- Work with a perfect knowledge balanced team, across The Netherlands, Portugal and India.
- Experience working for an international company, with a strong focus on the actual IT working methodologies and mentality.
- A working environment where your team and manager understand that it’s important to spend time thinking on a solution, rather than rushing into the first one that comes to mind; an environment where refactoring and rebuilding are seen as sometimes necessary; an environment where the team is the one truly responsible for coming up with a solution, rather than implement one that was imposed.
Our Interview Practices
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.