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. RESPONSIBILITIES As 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 EXPERIENCE REQUIRED SKILLS MSc 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 management Experience with git and Azure Machine Learning or equivalent (GCP Vertex AI, Amazon SageMaker, …). PREFERRED SKILLS PhD 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 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 COMPENSATION, WELFARE & BENEFIT Our 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 WORKING Flexibility 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 PROGRAM Our 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. TRAINING Prometeia 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 transfer of know‑how and skills. On‑the‑job training is also essential and involves immediate, direct confrontation with the market. WIN/WIN POLICY If you are one of our employees and you recommend a person who is later hired, you are entitled to a financial bonus This is an important opportunity to contribute to Prometeia's overall growth by attracting recognized market professionals and new tech talent. COMMUNITY Our Community is highly diverse, as are the skills of the people who are part of it and share its values, as well as the individuals and organizations directly or indirectly involved in our activities. Clients, People of the Group, Alumni, Institutions, Academia, and non‑profit entities we actively cooperate with are stakeholders who represent great value to us in terms of trust and collaboration. DIVERSITY We promote and respect equal opportunities and consider differences as a value. Diversity & Inclusion are fundamental values: from the recruitment phase to everyday life, they are promoted through dedicated training moments to develop individual sensitivities and uniqueness. IMPACT We responsibly take an active role in the environment, territories, and communities we operate in. Our headquarters in Bologna has obtained LEED Gold Certification, one of the highest awards recognizing the building's efficiency in energy and water savings, CO₂ emissions reduction, and improvements in the ecological quality of interiors, materials, and resources. In the Sustainability Report, we outline the results achieved within the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda drafted by the UN in 2016, which we have been supporting since 2020. Any questions?Get in touch with our team #J-18808-Ljbffr