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!