About RedCloud

RedCloud is leveraging AI-powered technology to break down the barriers to fair and profitable trade in emerging markets.

RedCloud's Intelligent Open Commerce Platform connects FMCG Brands, Distributors, and Local Merchants on a single, equitable marketplace, empowering them with real-world insights and data to help them make better decisions. RedCloud enables FMCG Brands to seize new opportunities in emerging markets, facilitates access to more buyers & streamlines operations for Distributors, and helps Local Merchants spend more time selling products, not searching for them.

The company comprises a highly diverse, dynamic team of driven talented people from over twenty different countries, speaking multiple languages, with a physical footprint in Africa, Europe, and Latin America.

As a Data Scientist you will:

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 into existing systems.Work with Product and business stakeholders to understand challenges and translate them into efficient AI-driven products aligned with broader business goals.Keep up with the latest advancements in AI, research new techniques and implement them to enhance the performance and accuracy of solutions.

Experience we like to see:

o 3+ years of experience in software engineering, with strong proficiency in Python.

o A deep understanding of machine learning concepts, NLP techniques, and AI model valuation metrics.

o Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others.

o Experience with cloud-based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI).

o Knowledge of databases and data technologies, such as Snowflake, BigQuery, and relational databases like SQL.

o Knowledge of Large Language Models, retrieval-augmented generation and generative AI is a nice to have.

Attributes we like to see

Strong problem-solving skills and the ability to break down complex challenges into manageable, actionable tasks. An interest in working across both software engineering and AI, with the ability to piece together solutions using a variety of tools and techniques. Excellent communication skills, with a collaborative approach to working within diverse teams.A passion for continuous learning and personal development, with a willingness to explore new ideas and approaches.