Senior AI Data Scientist

Requirements

• Proficiency in Python with a focus on AI libraries (e.g., TensorFlow, PyTorch, Keras)
• Strong understanding of machine learning algorithms and deep learning architectures (e.g., CNNs, RNNs, GANs, Transformers)
• Experience with natural language processing (NLP) techniques and frameworks (e.g., NLTK, SpaCy)
• Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy)
• Knowledge of cloud platforms for AI deployment (e.g., AWS, GCP or Azure)
• Experience with version control systems (e.g., Git) for collaborative development
• 5+ years of experience in AI, machine learning, or related fields
• Proven experience in developing and deploying AI models in production environments
• Strong foundation in statistics and data analysis as it relates to AI
• Familiarity with Agile methodologies and product development cycles
• (Desirable) Experience with reinforcem...