Overview

Utilising machine learning algorithms and AI solutions to analyse large datasets and drive data-driven decisions, while collaborating with teams to improve current workflows.

Main Tasks and Accountabilities

• Collect, analyse, and interpret large datasets to help businesses make data-driven decisions.
• Create and design mathematical algorithms that can process large amounts of data accurately and quickly.
• Aide with integration of systems into CONTEXT data workflow. 
• Test algorithms and follow up on answer validation.
• Review and analyse feedback to improve existing solutions.
• Work in collaboration with other teams.

Experience/Knowledge/Qualification required

• Excellent command of English, both spoken and written.
• Qualification/certification related to Machine Learning or relevant experience.
• Good knowledge of Machine Learning techniques.
• Proficient in SQL.
• Proficient in Python.
• Interest in Natural Language Processing (NLP) and large language models (LLM).
• Knowledge of Deep Learning frameworks (Tensorflow, PyTorch, Transformers, etc).
• Knowledge of agentic workflows and LLM agent design would be a plus (optional). 
• Knowledge of design patterns would be a plus (optional).
• AWS knowledge would be a plus (optional).
• Data visualisation knowledge would be a plus (optional).

Character and Personal Qualities

• Creative mind, able to think outside the box and good problem-solving skills.
• Ability to explain complex systems and algorithms to non-technical people.
• Effective communicator able to communicate at all levels of the organisation.
• Willingness to learn and progress.