Data Science Innovation Leader
4 days ago
We are Checkout, the strategic payments partner for some of the best-known fast-moving brands globally. Our mission is to enable businesses and their communities to thrive in the digital economy.
About the RoleAs a Staff Data Scientist specialising in Large Language Models (LLMs), you will play a critical role in harnessing the power of advanced NLP technologies to drive innovation and efficiency across our enterprise. You will lead LLM-based solutions' design, development, and deployment, collaborating with cross-functional teams to deliver impactful AI-driven applications.
Key Responsibilities- Design, Develop, and Fine-Tune LLMs: Create and refine LLMs for various applications such as chatbots, virtual assistants, text generation, and more.
- Data Preparation and Preprocessing: Ensure we have the right processes and tools to curate and preprocess large datasets for training and evaluating LLMs, implement strategies for data augmentation, labeling, and annotation.
- Tech Leadership: Increase the AI fluency in the wider business through supporting training programs and mentoring others.
- Technical Expertise: Proficiency in Python and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and spaCy.
- Model Optimization: Demonstrable experience in utilising different model architectures and training techniques to optimize performance.
- Prompt Engineering: Familiarity with prompt engineering techniques and frameworks like LangChain, LlamaIndex, or DSpy.
- Collaboration: Strong ability to collaborate and communicate with a large and varied group of stakeholders to embed AI into workflows and product features.
Estimated Salary: £120,000 - £180,000 per annum, depending on location and experience.
We're building diverse and inclusive teams around the world because that's how we create even better experiences for our merchants and partners. If you're passionate about driving innovation and efficiency through advanced NLP technologies, join us to build the digital economy of tomorrow.
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