Senior Deep Learning Engineer BOLOGNA

Senior Deep Learning Engineer
Bologna
Emilia Romagna, BOLOGNA

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 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 new cutting-edge products constituting the foundation for the present and future of these industries.

We focus on continuous iteration, prototyping and solution refinement to create valuable and highly innovative services and products.

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 the next actions to be taken 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 C++, and hands-on experience with libraries such as OpenCV, PyTorch and Pytorch-Lightning. 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. LOCATION:WHAT WE OFFER:COMPENSATION, WELFARE & BENEFIT: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.

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.

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