Data Scientist

About the role

We are looking for a highly skilled and innovative Data Scientist to join our forward‑thinking team. You will work on cutting‑edge AI solutions, spanning classical machine learning, conversational AI, and deep learning systems, and turn complex mathematical problems into production‑ready models.

Key responsibilities

• Design and develop generative AI models such as GANs, VAEs, and Transformers.
• Build classical ML models (regression, decision trees, SVMs, random forests, gradient boosting, clustering, dimensionality reduction) for business challenges.
• Train, fine‑tune, and deploy deep learning architectures including CNNs, RNNs, LSTMs, GANs, and Transformers.
• Participate in NLP projects, refining prompts and optimizing large language models (GPT, BERT, T5).
• Perform data preprocessing, augmentation, and feature engineering on large datasets.
• Conduct hyper‑parameter optimization (grid search, random search, Bayesian optimization) and monitor model performance for drift, over‑fitting, and bias.
• Engage in code and design reviews to ensure scalable, high‑quality system architecture.
• Collaborate with cross‑functional teams to validate algorithms and improve overall system efficiency.

Required profile

• Strong analytical mindset with a passion for advancing AI and machine‑learning research.
• Ability to translate complex mathematical challenges into actionable models.
• Proactive collaborator who thrives in a dynamic, interdisciplinary environment.

Required skills

• Generative AI techniques: GANs, VAEs, Transformers.
• Classical ML algorithms: regression, decision trees, SVM, random forests, gradient boosting, clustering, dimensionality reduction.
• Deep learning models: CNNs, RNNs, LSTMs, GANs, Transformers.
• NLP and LLM expertise: GPT, BERT, T5, prompt engineering.
• Data preprocessing, augmentation, feature engineering.
• Hyper‑parameter optimization: grid search, random search, Bayesian optimization.