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You are a Data Scientist with a passion for Generative AI and a strong engineering mindset. You enjoy turning business challenges into scalable AI solutions and thrive in collaborative environments where innovation, ownership, and continuous learning are encouraged. You are comfortable working across the full lifecycle of AI products, from experimentation and model development through to deployment and production support, while keeping business impact at the centre of your work.
Job Responsibility
Design, build, test, deploy, and maintain scalable Generative AI solutions in production environments
Work closely with business stakeholders to understand challenges and translate them into impactful AI-driven solutions
Develop reusable GenAI components and contribute to the adoption of AI capabilities across multiple business domains
Collaborate with engineers, product specialists, and fellow data scientists to deliver high-quality and responsible AI applications
Contribute to MLOps, LLMOps, automation, monitoring, and continuous improvement of AI solutions
Requirements
5+ years of experience as a Data Scientist or in a similar role with strong Python development skills
Experience with NLP, LLMs, Generative AI applications, and model development, deployment, and monitoring
Strong engineering capabilities including Git, CI/CD, APIs, cloud platforms, containerisation, ETL processes, and database technologies
Experience working with MLOps, LLMOps, DevOps, and cloud-based production environments such as Azure
Strong communication skills with the ability to collaborate across technical and non-technical stakeholders while coaching and sharing knowledge with others