Data & AI Engineer

Responsibilities

- Identify, propose and implement advanced best-of-breed solutions to complex data engineering and GenAI problems
- Design, build, launch and support efficient and reliable data ELT/ETL pipelines and unified data foundations to power BI, AI and GenAI applications
- Design, develop, test and support applications based on open-source and custom LLM's, adhering to appropriate performance, security and quality standards

- Design, Build, Train and Test AI/ML models using LLMs, statistical, neural networks and computer vision techniques depending on best fit to use case approach
- Design and automate data pipelines, MLops set up on different cloud service providers (Azure, AWS, GCP)

- Build applications using custom technologies via platform engineering (React for frontend, Python for backend)

- Be a technology ambassador - Git, blogs, spokesperson in customer and industry forums
- Any other tasks as assigned by superiors