Social network you want to login/join with: Junior Deep Learning Engineer, Metropolitan City of Bologna

Location: Metropolitan City of Bologna, Italy Job Category:

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3 Posted:

02.03.2025 Expiry Date:

16.04.2025 Job Description:

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 talented and motivated professionals with a passion for data science and a drive for innovation to join our Data Science team as

Junior Deep Learning Engineer , contributing to transformative projects in the banking and insurance sectors. The Prometeia Data Science team supports the digital transformation of banks and insurance companies using the most advanced data science techniques. Our Deep Learning team develops and delivers new cutting-edge products constituting the foundation for the present and future of these industries. From object detection and image segmentation to foundation models and generative AI, we are committed to transforming initial concepts and emerging technologies into fully developed products. We focus on continuous iteration, prototyping and solution refinement to create valuable and highly innovative services and products. Leveraging advanced Computer Vision techniques – such as segmentation, object detection, and foundation models – along with generative AI methods for time series analysis and synthetic data generation, we deliver cutting-edge solutions that meet real-world needs. RESPONSIBILITIES:

As a Junior Deep Learning Engineer, you will: Develop algorithms for real-time object detection (both 2D and 3D), instance/semantic segmentation, depth estimation, scene reconstruction and understanding. Develop algorithms to generate synthetic time series data, classification, clustering and anomaly detection. Analyze model results to create clear reports. EDUCATION AND EXPERIENCE:

REQUIRED SKILLS:

BSc or MSc in Computer Science, Computer Vision, NLP, Machine Learning, or related fields. Good proficiency in programming languages, especially Python.



Good knowledge of the English language. Experience in Deep Learning models training and ML dataset management. Experience with git and Azure Machine Learning or equivalent (GCP Vertex AI, Amazon SageMaker, …). PREFERRED SKILLS:

PhD degree in Computer Vision, NLP, Machine Learning, Robotics, or related fields. Hands-on experience with libraries such PyTorch, Pytorch-Lightning and OpenCV. Experience in semi-supervised, self-supervised and weak-supervised learning. Track record of publications at conferences related to computer vision, NLP and/or machine learning. SOFT SKILLS:

A problem-solver with a strong analytical mindset. Exceptional communication skills and meticulous attention to detail. A team player with excellent communication and collaboration skills. Passionate about process innovation and driven by curiosity to understand and optimize business processes. WHAT WE OFFER:

Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since 2015 – we have been among the first to introduce it in Italy - and Benefits, which include all the initiatives undertaken for the well-being of our people.



REMOTE WORKING:

Flexibility is an intrinsic value of the way we work. At Prometeia, smart working is an organizational method based on trust, which results in benefits in terms of work/life balance, impact on the environment and optimization of company results, through autonomy and empowerment of people. PEOPLE PROGRAM:

Our evaluation system is based on the full enhancement of people and their continuous dialogue as a stimulus for regular, mutual professional and personal growth. Transparent discussions between managers and team members are set up within the projects, where reciprocal and timely feedback is exchanged. The process is fully digitalized and aimed at continuously improving the development trajectory of the individual and the company. TRAINING:

Prometeia means ongoing training. We provide an average of 11 days of training per year to our people, in person and online. Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important, through immediate and direct confrontation with the market. WIN/WIN POLICY:

If you are one of our employees, and you recommend a person who is later recruited,



you are entitled to a financial bonus! This is an important opportunity to contribute to the growth of Prometeia as a whole, by attracting acknowledged market professionals and new tech talents.

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