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.

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.

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.