Key skills
JavaPythonRustSQLGoAIMLGenerative AILarge Language ModelsClaudeGeminiELT
About this role
Role Overview
- contribute to evolving existing source data pipelines to an elt model of data ingestion
- implement the separation of source-aligned data products from aggregate data products
- develop and build ai applications and intelligent features, leveraging large language models (llms) to enhance data products
- implement new data pipelines specifically to support the training, fine-tuning, and deployment of ai/ml models
- apply software engineering best practices to code release process
- contribute to defining and delivering on a data product slo for your data ‘customers’
Requirements
- solid software, data, and ai/ml engineering skills
- experience in developing and deploying applications utilizing large language models (llms)
- familiarity with leading generative ai platforms and models, such as claude, gemini, or other equivalent open-source or proprietary lls
- advanced proficiency in using sql for data transformation
- proficiency in at least one general purpose programming language, eg. python (preferred for ai/ml), go, java, rust, etc.
- collaborative approach, actively participating in technical debates and being open to different perspectives.
- focus on quality in all aspects of work, from code through to data
- ability to prioritize work to maximize contributions and impact
- past experience in building data products, ideally with some exposure to governance and compliance requirements.
Tech Stack
- Java
- Python
- Rust
- SQL
Benefits
- health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development