Note: The job is a remote job and is open to candidates in USA. Keebo is a venture-backed startup offering a cloud-based Data Learning platform for enterprise analytics. As a Senior Data Engineer, you will leverage your expertise in data engineering and ML Ops to enhance the ML platform and support the AI team in achieving critical revenue goals.
Responsibilities
- Design and implement an AI/ML platform that balances speed of development with cloud costs
- Collaborate with the rest of the AI team achieve goals that drastically impact the revenue of the business
- Mentor AI engineers in data engineering and MLOps best practices
- Mentor engineers across Keebo in data engineering and architecture best practices
Skills
- Experience as a data engineer, building data pipelines, ensuring data quality, and implementing data modeling for use by ML/analytical models
- Experience with MLOps, including using automated testing and CI/CD to speed up model development
- Experience automatically monitoring the quality and effectiveness of ML/AI models from local dev through to production
- Experience with GCP or AWS
- Experience with Python and Golang, or similar
- Skilled in designing and implementing scalable, resilient data engineering and MLOps architectures that balance cost and speed of development
- Skilled in being self-directed and moving quickly to build and improve systems and architectures
- Strong communication skills and ability to advocate for data engineering best practices across the entire engineering organization
- Skilled in mentoring engineers in data engineering best practices
- Ability to work in a fast-paced early stage startup
- Skilled at communicating effectively in a distributed environment with people across multiple time zones
- Strong self-motivation, initiative, and adaptability
- Experience with Java
- Experience with Google Cloud
- Experience working as an ML/AI engineer in the past
Benefits
- Equity
- Home office stipend
- Comprehensive medical, dental, and vision benefits
- 401k retirement program
- Annual company offsite (this year the team met up in Cancún, Mexico!)
- Paid time off
- Paid parental leave
Company Overview