Overview
The role of Data Engineer at GenAI is a critical position responsible for designing developing and maintaining the data infrastructure that supports the organizations data initiatives. The Data Engineer will work closely with crossfunctional teams to ensure data availability reliability and accessibility.
Key Responsibilities
- Building AIdriven features from scratch like personal assistants chatbots copilots and more.
- Developing userfocused and backend features using deep learning
- Delivering impactful scalable datadriven AI solutions
- Collaborating with Product Engineering and Data teams to solve deep learning challenges
- Integrating cuttingedge AI technologies to drive innovation
Required Qualifications
- Experience in Deep Learning within Natural Language Processing area and Large Language Models
- A Bachelors degree in a STEM major (mathematics computer science engineering)
- Excellent knowledge of data science (python SQL) and production tools
- A deep understanding of probability and statistics fundamentals
- Big picture thinking to correctly diagnose problems and productionising research
- Excellent communication and collaboration skills to partner with Product Owners and business heads
Nice to have
- A masters or PhD in a quantitative discipline
- Strong experience with additional programming languages such as Java Scala C
- Experience at a large tech company worth >$15B
- School/University Olympic medal competitions in physics maths economics or programming
sql,probability and statistics,large language models,c++,big data,python,natural language processing,communication,java,deep learning,scala,collaboration