* Lead real-world AI innovation in a fast-moving distribution business
* Must have deployed full-stack AI/ML and GenAI solutions in production
About Our Client
A forward-thinking distribution enterprise at the forefront of digital transformation, this company is investing heavily in AI.
Job Description
* Build and deploy end-to-end AI/ML solutions, from data ingestion to model deployment.
* Develop classical ML models (e.g., regression, classification, clustering) for forecasting, optimisation, and automation.
* Design and fine-tune GenAI models (e.g., LLMs, diffusion models) for use cases such as content generation, summarising, and intelligent assistants.
* Collaborate with data engineers, product managers, and business stakeholders to translate requirements into scalable AI solutions.
* Monitor and maintain deployed models, ensuring performance, accuracy, and reliability.
* Stay current with AI/ML research and apply relevant advancements to business challenges.
* Contribute to the development of AI best practices and reusable components.
The Successful Applicant
* Proven experience deploying AI/ML solutions in production environments.
* Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
* Hands-on experience with GenAI tools and platforms (e.g., Hugging Face, OpenAI, LangChain).
* Solid understanding of MLOps practices and tools (e.g., MLflow, Docker, Kubernetes).
* Ability to work independently and collaboratively in a fast-paced, agile environment.
* Excellent problem-solving and communication skills.
What's on Offer
* Opportunity to lead AI innovation in a high-impact, real-world setting.
* Work with a forward-looking team committed to digital transformation.
Contact: Manpreet Kaur
Quote job ref: JN