Work closely with product, business development, and sales teams to translate business objectives into well-defined technical requirements and delivery plans.
Support the development, testing and improvement of internal business systems, digital solutions and company web platforms while gaining practical experience in real-world software projects.
Mentor junior AI engineers, set best practices for prompt engineering, RAG pipelines, and agent evaluation, and help build reusable AI infrastructure for the broader team.
Lead consultative discovery to understand customers' AI applications, model stack, workloads, buying process, and success criteria. Develop business cases that connect model quality, latency, throughput, and total cost of ownership to customer outcomes
To assist in designing and developing machine learning dashboards, tailored for equipment development as in image & video AI analytics and Large Language Model Chatbot.
Advanced Modeling: Apply dimensional modeling (Kimball/Inmon) to ensure data structures reflect actual business processes, making them intuitive for AI models and analysts alike.
Integrate enterprise applications through authenticated APIs and MCP where appropriate, selecting deterministic workflows, agents or conventional ML based on the problem.