We are currently looking for a AI/ML Engineer to strengthen the Cronos Europa team.
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.
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.
Requirements
- Experience: Minimum 2 years of experience in the role.
- 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.
- 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!
