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.
We are looking for a passionate Senior Machine Learning Engineer to join our team. The ideal candidate is an experienced professional who combines data science expertise with strong MLOps capabilities and is not afraid to lead and mentor team members while driving business-focused solutions.
In this role, you will plan, design, develop and maintain high-performing data pipelines, machine learning services, and cloud infrastructure that power our ML-based products. You will work closely with Data Engineers and Data Scientists to promote the best experience for data analytics, data science explorations, development of data-based features, and ensure that ML projects run smoothly from experimentation to production.
Important Note: Our company operates a centralized GenAI platform for all GenAI-related use cases. As such, your research scope in GenAI will be focused on leveraging this existing platform rather than developing new GenAI solutions from scratch. Your primary focus will be on building robust ML infrastructure, deploying and monitoring traditional ML models, and ensuring seamless integration with our data ecosystem.
Responsibilities:
•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:
•Degree in Computer Engineering, IT, or similar field
•Minimum of 5 years of working experience as a Backend Engineer and/or Machine Learning Engineer
•Strong ability to write robust, production-grade code in Python or similar languages
•Proven experience with code quality, data quality, and testing frameworks
•Experience developing end-to-end ML pipelines and workflows
•Experience developing and deploying APIs for machine learning models
•Proficiency with SQL/NoSQL databases
•Experience with MLOps frameworks such as MLFlow, KubeFlow, or similar
•Experience with AWS solutions, particularly SageMaker and other ML services
•Strong understanding of ML model lifecycle management and deployment strategies
•Knowledge of containerization and orchestration technologies (Docker, Kubernetes)
•Fluency in English: Excellent written and verbal communication skills in English
Nice to have:
•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.
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.