We are seeking an Medior AI/MLOps Engineer. The ideal candidate will be responsible for deploying and managing AI/ML models in production, optimizing infrastructure, building testing/validation pipelines, and ensuring seamless integration across various platforms. This role requires a blend of data engineering, software engineering, and basic machine learning expertise to support the end-to-end lifecycle of machine learning applications.

Key Responsibilities:
1. Model Deployment and Integration:
   - Design, implement, and maintain scalable machine learning pipelines and workflows.
   - Deploy machine learning models to production environments, ensuring high availability and performance.

2. Infrastructure and Automation:
   - Develop and maintain CI/CD pipelines for ML model deployment.
   - Automate testing and validation pipelines for our AI models.

3. Data Preprocessing and Engineering:
   - Work with large datasets, performing data cleaning, normalization, and transformation.
   - Develop and implement testing/validation workflows for data annotations with third-party annotators.

4. Monitoring and Maintenance:
   - Monitor model performance and data drift in production environments.
   - Implement logging, monitoring, and alerting for deployed models.

5. Collaboration and Communication:
   - Work closely with AI Engineers and software developers to streamline the ML model development process.
   - Communicate findings and provide recommendations for improvements.

6. Security and Compliance:
   - Ensure compliance with data privacy and security regulations.
   - Implement best practices for data governance, including data lineage and versioning.

7. Continuous Improvement:
   - Stay updated with the latest trends and technologies in AI/ML and MLOps.
   - Propose and implement improvements to existing processes and infrastructure.

Your Profile:
- The ideal candidate will have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field. 
- You should have 2+ years of experience in MLOps, DevOps, or a similar role, with experience using machine learning frameworks like TensorFlow or PyTorch. 
- Proficiency in programming languages such as Python 3.x, R, or Java is essential. 
- Technical skills should include experience with cloud platforms (AWS, GCP, Azure), version control systems (Git), and CI/CD tools (Jenkins, GitLab CI). Familiarity with AI engineering tools and data annotation tools is a
plus. 
- Soft skills are equally important: you must possess excellent problem-solving capabilities, strong communication skills, and the ability to work well in a fast-paced, team-oriented environment. 
- Fluency in English is required.
- You live in the Netherlands, relocation not possible.

Your Package:
- Annual salary of up to €58k per year, including 8% holiday allowance
- Minimum of 40 hours per week
- Good coffee, enjoyable Friday borrels, and an education budget
- Office days: Monday, Wednesday, and Friday (3 days); remote days: Tuesday and Thursday (2 days)
- 33 vacation days
- Visa sponsorship possible for the right candidate
- No relocation support available
- Every 3 months, we organize a major team-building event, and every other week, a few of us spontaneously get together for a drink.

Interested? Press APPLY!