We are currently looking for a AI/ML Engineer to strengthen the Cronos Europa team.
1. ENVIRONMENT
- The project operates within a European financial institution, necessitating adherence to strict regulatory and compliance standards.
- The role is part of a collaborative team comprising senior data scientists and software developers, enabling knowledge sharing and support.
- The working environment emphasizes innovation, focusing on the use of advanced technologies and methodologies to enhance data-driven decision-making.
2. RESPONSIBILITIES
**Data Science & Modelling**
- Collect, clean, and prepare data necessary for projects, ensuring high-quality inputs for analysis.
- Perform feature engineering, exploratory analysis, model development, and testing.
- Train, validate, and document predictive models to ensure reproducibility and explainability.
- Maintain datasets, modelling artefacts, KPIs, and detailed experiment records for ongoing projects.
**Data Engineering & Integration**
- Design and maintain data ingestion and transformation pipelines to support ongoing projects.
- Integrate all pipelines with the institution's Data Warehouse and Denodo, aligned with architectural guidelines.
- Ensure data quality, metadata completeness, and compliance with governance standards.
**DevOps / MLOps Definition & Implementation**
- Contribute to defining and implementing the operating model for DevOps/MLOps, factoring in group-specific constraints and security requirements.
- Pilot CI/CD and MLOps practices across development (DEV), testing (TST), user acceptance testing (UAT), and production (PRD) environments.
- Coordinate cross-application releases with upstream and downstream systems, ensuring seamless integration.
- Ensure compliance with internal guidelines, governance patterns, and the Azure Landing Zone.
**Operations & Reporting**
- Support the daily operational execution of data pipelines, models, and services across various environments.
- Provide structured reporting and effective stakeholder communication, documenting processes and methodologies.
- Facilitate knowledge transfer and operational handover through detailed documentation and organized sessions.
3. REQUIREMENTS
3.1 EXPERIENCE
- Minimum 2 years of experience in the role.
3.2 TECHNICAL SKILLS
- Proficiency in programming languages such as Python, Java, C++, and Scala.
- Solid experience with data science and machine learning libraries, including pandas, numpy, scikit-learn, and matplotlib.
- Extensive experience working with SQL for data extraction and transformation.
- Familiarity with data ingestion and transformation pipelines and integration with enterprise platforms (e.g., data warehouses, Denodo).
- Experience or exposure to DevOps/MLOps practices, including CI/CD pipelines, containerization (e.g., Docker), and Azure cloud services is advantageous.
3.3 LANGUAGES
- English is mandatory, with a proficiency level of at least B2.
- Additional language skills may be beneficial but are not essential.
Why Cronos Group?
We'll propose you:
- An attractive salary package
- A good work-life balance environment
- The assurance of working in cutting-edge technologies in an entrepreneurial spirit.
- The opportunity to develop your skills thanks to tailor-made training courses according to your needs
- A good job in a friendly place
If you wish to integrate a dynamic structure on a human scale while working with the latest technologies, don't wait anymore and join Cronos!
