Bachelor’s Degree in Computer Science, Mathematics, Statistics, or a related field.
Deep knowledge in Machine Learning, Natural Language Processing (NLP),Computer Vision,Deep Learning
Strong knowledge on Python as a programming language.
Strong analytical and problem-solving abilities.
Responsibilities:
Research, investigate, evaluate, and optimize the latest AI models, bridging the gap between Market Research, Product Ownership, and Business Intelligence.
Collaborate with multidisciplinary teams, including the AI Market Research Team Lead, AI Data Scientist, AI Architect Engineer, AI DevOps Engineer, BI team, and Product Owners, to deploy AI models into production. This includes automating internal operations tools and developing B2C products.
Contribute to the development of best practices for code reuse, model training, and fine-tuning, improving accuracy while managing costs effectively.
Create, manage, and analyze large datasets, overseeing unstructured data acquisition, object detection, labeling, and data loader development. Extract patterns, trends, and insights to inform AI model development.
Train machine learning models, fine-tune them for optimal performance, and ensure their scalability and efficiency. Assess their reliability and performance through rigorous testing and validation.
Stay at the forefront of AI advancements, sharing insights, recommendations, and findings with your team. Contribute to AI research through publications, conferences, and presentations, while driving innovation in the field.