Be the technical product owner for the data pipeline, evaluation/benchmarking and monitoring tools working closely with Data Scientists to support their needs
Design, build and maintain the core data infrastructure
Design and develop Infrastructure for data pipelines, data versioning, model serving/versioning and monitoring.
Design and develop Benchmarking and Evaluation Tools
Support internal teams with all Data Requirements, including analytics teams, product teams as well as the data science teams
Build, operationalize and help take POCs to production
Support all DE operations critical to Production as required
What Youll Bring
The ideal candidates would have professional experience building data and model pipelines with additional skills for production grade MLOps for cutting edge data science teams, be proficient with Python and/or Golang and excited to work in a fast-moving start-up environment
Strong experience with Data Engineering - With an additional knack for building production grade pipelines for ML teams
Strong software engineering, data management skills
Strong proficiency in Python or Scala. Golang is a plus
3+ years related experience strongly preferred
Experience building scalable services
Good design and problem solving skills
Experience working with cloud infrastructure (GCP, AWS, Azure)
Experience working with docker/containers, and/or Kubernetes
Strong with SQL and/or NoSQL databases
Experience designing and creating APIs. Flask or FastAPI knowledge is a plus