Senior MLOPS Engineer

Join Our Data & Analytics Team at BearingPoint Netherlands

Our Focus

Join our Data & Analytics team at BearingPoint Netherlands, where we specialize in three core areas: Data Strategy & Management, Data Engineering, and Advanced Analytics. We deliver end-to-end solutions that help clients unlock value from their data—from strategy to predictive and prescriptive insights.

Your Role

As a Senior MLOps Engineer, you will design and deploy scalable MLOps frameworks that streamline the transition from data science to production. You will guide clients in operationalizing machine learning models for long-term impact and sustainable performance.

• Lead MLOps implementations: design and build end-to-end MLOps pipelines, establish CI/CD practices for Machine Learning models, and automate deployment processes to ensure scalable and reliable Machine Learning systems in complex enterprise environments.
• Drive innovation and thought leadership: stay ahead of developments in MLOps, model governance, responsible AI, and GenAI. Promote best practices and lead the adoption of modern ML infrastructures across client organizations.
• Mentor and guide teams: manage initiatives and coach junior engineers in building production-ready ML systems. Facilitate knowledge sharing, lead model governance discussions, and develop innovative solutions to complex ML deployment challenges.
• Support Client Development: shape ML infrastructure strategies and architect scalable platforms that enable AI transformations. Your technical leadership and operational insights will help deliver robust and future-proof solutions.

Your Benefits

• Corporate Benefits: You will receive a best-in-class benefits package including, for example, an electric lease car or mobility budget, laptop & mobile phone, work from home budget, 25 holidays + optional to buy 5 days extra a year and pension contributions.
• Flexible Working: Your plans are as unique as you are. Choose your place of work flexibly, whether in our office, at the client’s office or from home.
• Mentorship: Experienced colleagues will support you during your start and development.
• Personal Development: Look forward to responsible tasks with a high degree of creative freedom, a steep learning curve, and an extensive range of training courses.
• Team Spirit: We embrace flat hierarchies and a team-oriented corporate culture. Ecological responsibility and social commitment are part of our DNA.
• Remuneration Model: Benefit from our attractive model, including a performance-related bonus.
• Work-Life Balance: We offer a wide range of options, including an annual ski trip, sabbaticals and workations.

Your Profile

• A relevant and completed Master of Science degree including certifications in cloud platforms (Azure and/or AWS).
• 6–8 years of experience in DevOps, ML engineering, or software engineering with a focus on ML, preferably in a consulting environment.
• Extensive hands-on experience with MLOps tools and platforms, strong programming skills in Python, and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost).
• Deep expertise in containerization and orchestration technologies for ML workloads, as well as experience with cloud-native ML services and serverless computing for ML workloads.
• Experience with Infrastructure as Code (IaC), stream processing, real-time ML inference architecture, model monitoring, drift detection, and ML observability tools.
• Understanding of ML security, testing strategies, model governance, and responsible AI practices, along with knowledge of feature stores, model registries, data- and model versioning, and experiment tracking systems.
• Good communication and presentation skills in both Dutch and English.

About BearingPoint

BearingPoint is an independent management and technology consultancy with European roots and global reach. We offer consulting that combines strategy with technology and combine entrepreneurship with a spirit of innovation.