Data Scientist (AI & LLM Specialisation)

H2: Why Qubiz?

For more than 16 years, Qubiz has been a leading tech company with 400+ employees and a flat organisational structure.

By prioritising people, both colleagues and clients, we have created an environment focused on well-being, which allows us to deliver exceptional performance.

In joining Qubiz, you’ll benefit from a broad range of benefits, including ambitious projects, personal career development opportunities, flexible work options, comfortable workspaces, and health programs.

Most importantly, our 91-94% retention rate and the many colleagues who have been with us for 5, 10, and even 16 years are testaments to the fact that you can build a long and successful career with us.

About the Data Scientist Role

We’re looking for a Data Scientist with a strong focus on AI, ML, and LLMs to drive innovation in AI-powered solutions.

This role requires expertise in machine learning, deep learning, NLP, and data visualisation, along with strong problem-solving and communication skills. You will work both independently and collaboratively to develop AI-driven solutions that enhance decision-making and automation.

What you will do

• Design, develop, and deploy ML models with a strong emphasis on improving business processes and outcomes.
• Research, fine-tune, and optimise LLM for various applications.
• Perform data analysis to extract insights and enhance AI model performance.
• Develop and maintain AI/ML pipelines for training, evaluation, and deployment.
• Create data visualizations to effectively communicate AI model outputs and insights.
• Collaborate with engineers, researchers, and business teams to integrate AI models into production.
• Continuously improve AI systems, staying up to date with advancements in LLMs and AI research.

Required Skills & Experience

• Strong foundation in AI, machine learning, deep learning, and data science.
• Experience with LLM (e.g. OpenAI, Llama, ClaudeAnthropic) and frameworks such as LangChain, LangGraph, Hugging Face etc.
• Proficiency in programming languages such as Python, with libraries like TensorFlow, PyTorch, Scikit-Learn, and Pandas.
• Expertise in NLP techniques, including fine-tuning transformer-based models.
• Knowledge of prompt engineering, retrieval-augmented generation (RAG), agentic workflows and model inference optimisation.
• Familiarity with cloud AI services (AWS Sagemaker, GCP Vertex AI, or Azure AI).
• Strong problem-solving, decision-making, and communication skills.
• Ability to work autonomously while collaborating with cross-functional teams.

Nice-to-haves

• Master’s or PhD in AI, Data Science, Computer Science, or a related field.
• Experience in training custom foundation models or working with open-source AI models.
• Knowledge of reinforcement learning, multimodal AI, or ethical AI considerations.
• Experience deploying AI models in real-world applications at scale.

What We Offer

• The opportunity to work on state-of-the-art ML/AI and LLM projects.
• A collaborative and innovative environment with AI/ML experts.
• Professional development and the ability to research in AI/ML and LLMs.
• Competitive compensation and benefits that recognise your contribution.

If you're passionate about AI, ML, and LLMs and eager to make a real impact, we’d love to hear from you! Apply now and help shape the future of AI!