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Senior Machine Learning Ops Engineer
2 maanden geleden
Position: Senior Machine Learning Ops Engineer
Location: Utrecht (hybrid)
Employment Type: Contract
Duration: Initially till Aug 31, 2025
Language: Dutch & English
Rate: Competitive
As a senior MLOps engineer, you will be working with the Model Factory team (platform team) as well as the Data science team. You will translate the technical needs of the Data science team to appropriate templates that fit within our generalized Model Factory platform. Moreover, you will consult the Model Factory team on best practices when it comes to MLOps and its implementation.
Responsibilities for AI Models (MARS, Gen AI & New use cases):
- IT Security & Compliance: Implement security concerns related to ML systems with the Solution architect and IT teams;
- Templates: Create and manage reusable deployment templates for ML models;
- Support Deployments: Collaborate with data scientists during model deployment;
- Maintenance: Maintain ML models in production (i.e. retraining, monitoring health and ensuring service availability);
- CI/CD Implementation & Orchestration: Implement continuous integration and continuous deployment pipelines and streamline deployment workflows;
- Responsible for batch, real-time and GenAI model deployments;
- Tech Stack Alignment: Provide support in aligning the tech stack with architectural requirements in collaboration with Solution architects and IT4IT engineers.
Technical Skills:
- DBX & Databricks & Azure Tech Stack: Proficiency in these platforms and integrations;
- Architecture Affinity: Understanding of systems architecture;
- DevOps: Experience with DevOps practices;
- Security Affinity/Basics: Awareness of security best practices;
- Python: Ability to write and maintain Python code;
- Deployment Track Record: Demonstrated success in deploying ML models to production environments, both real time and batch based.
Soft Skills:
- Independence and Proactiveness: Ability to work autonomously and collaboratively;
- Communication skills: able to translate technical requirements without jargon.
Ready to take your career to the next level? Apply now and be part of our dynamic team
