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Selected role

Senior Machine Learning Engineer

Wolters Kluwer Porto, P13, PT

Senior Full-time

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.

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.

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