Data Scientist

About this role

Requirements

• 3+ years of experience in Data Science
• Deep understanding of machine learning concepts, NLP techniques, and AI model valuation metrics
• Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio
• Experience with cloud-based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI)
• Knowledge of databases and data technologies, such as Snowflake, BigQuery, and relational databases like SQL
• Knowledge of Large Language Models, retrieval-augmented generation and generative AI

Responsibilities

• Design, develop, and deploy ML systems to solve real world problems and enhance business processes
• Leverage cloud platforms to build, train, and scale ML models
• Develop and implement state-of-the-art algorithms, including Computer Vision techniques, LLMs and other GenAI models
• Handle and analyze large amounts of data to train and validate machine learning and deep learning models
• Ensure AI solutions are scalable and reliable through continuous iteration and optimization
• Collaborate closely with cross-functional teams, including data scientists, data engineers, and software developers, to integrate AI solutions
• Work with Product and business stakeholders to understand challenges and translate them into efficient AI-driven products
• Keep up with the latest advancements in AI, research new techniques and implement them to enhance performance

Benefits

• Join a publicly listed company on Nasdaq (RCT)
• Work with a diverse team spanning many nationalities
• Operations across Africa, the Middle East, Europe, and Latin America
• Build a more connected and efficient global trade network