Senior Deep Learning Engineer

Are you curious and ready to take on a new career challenge? Are you eager to join a dynamic company and bring innovation through your work and skills?Prometeia offers opportunities for growth and training within a Group with over 1,000 professionals serving more than 500 clients in 20 countries worldwide.Prometeia is seeking talented, motivated professionals passionate about data science and driven to innovate to join our Data Science team as a Senior 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 cutting‑edge products that constitute 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 deliver valuable, 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.RESPONSIBILITIESAs a Senior Deep Learning Engineer, you will:Design and develop innovative algorithms for real‑time object detection (both 2D and 3D), instance/semantic segmentation, depth estimation, scene reconstruction, and understanding.Design and develop innovative algorithms to generate synthetic time‑series data, classification, clustering, and anomaly detection.Read, understand, and transform the most recent published literature into code.Analyze model results and highlight next steps to improve them.EDUCATION AND EXPERIENCEREQUIRED SKILLSMSc or PhD degree in Computer Science, Computer Vision, NLP, Machine Learning, or related fields.2+ years of experience developing and designing Deep Learning algorithms.Strong proficiency in programming languages, especially Python and/or C++Good knowledge of English.Experience in Deep Learning models training and ML dataset managementExperience with git and Azure Machine Learning or equivalent (GCP Vertex AI, Amazon SageMaker, …).PREFERRED SKILLSPhD degree in Computer Science, Computer Vision, NLP, Machine Learning, Robotics, or related field.Background in machine learning with experience in large‑scale DL models training and evaluation.Experience in semi‑supervised, self‑supervised, and weak‑supervised learningTrack record of publications at conferences related to computer vision, NLP and/or machine learningSOFT SKILLSA 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 OFFERCOMPENSATION, WELFARE & BENEFITOur history, as well as our future, is based on the value of our people. Prometeia’s biggest investment is in our people, and it concerns every aspect of professional life. We call it “Total Compensation”, and it is made of three elements: Compensation, consisting of a fixed and a variable component, a Welfare Plan active since 2015 –we were among the first companies in Italy to introduce it–, and Benefits, including all initiatives for the well‑being of our people.REMOTE WORKINGFlexibility is an intrinsic value of our way of working. In Prometeia, remote working is an organizational method based on trust. It results in benefits in terms of work‑life balance, environmental impact, and the optimization of company results through the autonomy and empowerment of people.PEOPLE PROGRAMOur evaluation system is based on the full enhancement of our people and on continuous dialogue as a stimulus for regular, mutual professional and personal growth. Within the projects, several moments are dedicated to transparent discussions between managers and team members. This allows for prompt, reciprocal feedback. The process is fully digitalized and aimed at continuously improving the strategic growth of both the individual and the company.TRAININGPrometeia means continuous training. We provide an average of 11 days of training per year to our people, in person and online. We pay specific attention to younger colleagues, the protagonists of dedicated growth programs, and to the continuous sharing and internal