We are a software house with a 18-year history, a rich portfolio, projects all over the world and an appetite for more. We have built our brand on professionalism and flexibility in delivering software solutions. We are not afraid of unconventional ideas and value innovation and imaginative change.

JOB DESCRIPTION:

We are seeking a highly skilled and experienced Lead Data Scientist to join our dynamic team. In this role, you will be at the forefront of developing and deploying cutting-edge transformer-based models for both text and image processing. You will be responsible for architecting and overseeing the entire model lifecycle, from data preparation and model design to deployment and ongoing monitoring. This position requires a deep understanding of neural networks, deep learning, and reinforcement learning techniques, as well as hands-on experience with advanced machine learning frameworks and cloud platforms.

REQUIREMENTS:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques.
• Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs, …)
• Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, …)
• Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP).
• Understanding of the whole ML lifecycle and experience with MLOps/DataOps.
• Excellent problem-solving skills and ability to work independently in a fast-paced environment
• Strong communication skills and ability to collaborate effectively with team members and external partners, fluent English

• Development and training of transformer-based models for both text and images.
• Architect and oversee the entire model lifecycle, from data preparation, model design, training, development and validation to model deployment and monitoring.
• Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions.
• Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate.