AI MLOps Engineer, Amsterdam
Job Description:
We are looking for an AI/MLOps Engineer to join our vibrant team. In this role, you'll be deploying and managing AI/ML models in production, optimizing infrastructure, building testing/validation pipelines, and ensuring seamless integration across different platforms. This position requires a mix of data engineering, software engineering, and fundamental machine learning skills to support the complete lifecycle of machine learning applications.
Key Responsibilities:
- Model Deployment and Integration
- Design, implement, and maintain scalable machine learning pipelines and workflows.
- Deploy machine learning models to production, ensuring high availability and performance.
- Infrastructure and Automation
- Develop and maintain CI/CD pipelines for ML model deployment.
- Automate testing and validation pipelines for our AI models.
- 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.
- Monitoring and Maintenance
- Monitor model performance and data drift in production.
- Implement logging, monitoring, and alerting for deployed models.
- 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.
- Security and Compliance
- Ensure compliance with data privacy and security regulations.
- Implement best practices for data governance, including data lineage and versioning.
- Continuous Improvement
- Stay updated with the latest trends and technologies in AI/ML and MLOps.
- Propose and implement improvements to existing processes and infrastructure.
Ideal Candidate:
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, 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.
Compensation:
- Annual Salary: €45,000 - €58,000
- Monthly Salary: €3,500 - €4,500
- Hours per Week: 40
Extras:
- Good coffee
- Fun Friday drinks
- Education budget
Must-Haves:
(knock-out criteria)- MLOps
- Machine Learning
- AI
- Python 3.x
- Bachelor’s Degree in Data Science or Computer Science
- English proficiency
Preferred Hard Skills:
- CI/CD
- PyTorch
- Automated Testing
- Knowledge of software testing
Preferred Soft Skills:
- Strong communication
- Team player
- Self-starter
Experience:
- At least 2 years of relevant working experience
Working Conditions:
- Office: 3 days per week / Home: 2 days per week
- 33 vacation days
- Visa sponsorship possible
- Hybrid working possible
- No relocation possible
