Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?
Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.
Prometeia is looking for professionals to join the Data Science team.
This team supports the digital transformation of banks and insurance companies through the development of AI intensive systems. Such systems must be able to analyze a heterogeneous ever-increasing amount data. Features such as scalability, resilience and ability to evolve are of paramount importance for the success of a project.
We are looking for candidates interested in joining our Data Science team and reach new goals in the digital innovation of our clients.
We need Data Engineers/Machine learning Engineers who are able to design, develop and maintain highly scalable analytical systems.
We are looking for talents with some experience the area, high technical background with a portfolio of previously developed projects.

RESPONSABILITIES:

• Development of machine learning prototypes and end to end solutions for real time analysis or batch analysis of a large amounts of data
• Model lifecycle management through MLOps techniques
• Development of automatic systems for test, integration and the deployment of software artifacts and their lifecycle management
• Development of proactive monitoring systems
• Optimize the performance and scalability of machine learning models
• Work closely with data scientists to translate research models into production-ready solutions

REQUIREMENTS:

• Good knowledge of Python
• Good knowledge of data structures and problem-solving skills
• Attitude to design and develop maintainable, robust and scalable code using, if possible, a test-driven development (TDD) approach.
• Knowledge of the PaaS and SaaS solutions offered by different cloud providers (Azure, AWS, GCP). Ability to design a cloud native solution taking into account requirements and performing a cost-benefits analysis
• Good knowledge of relational databases such as Postgres and document databases, like MongoDB
• Knowledge of containerization (Docker)
• Basic knowledge of distributed systems
• Experience with code versioning systems (Git)
• Ability to work on Linux systems without much supervision

EDUCATION

• Bachelor’s or Master’s degree with excellent grades in Computer Science, Data Science, Statistics, Physics, Mathematics or related fields
• Experience in a business context (including Internship), preferably for a company in the financial or insurance field

Please refer the Job description for details