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
- 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
- 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
Preferred qualifications
- 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
- Leadership & Initiative: Ability to lead technical initiatives and drive projects to completion
Benefits
- 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.
Tags & focus areas
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