Responsibilities
- 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
Basic qualifications
- 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
- Attractive salary
- Large freedom and real influence
- No unhealthy competition, team approach to meeting challenges
- Remote work model
- Company apartments in cool cities across Europe: work and enjoy a memorable getaway
Benefits
- Work from home
- Python: 5 years (required)
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Machine Learning Deep Learning Data Science Ai