Job Description
- Manage data science infrastructure to streamline model development and deployment
- Define and build scalable data pipelines that enables data scientists to build better models
- Implement cutting edge big data frameworks to support batch and real-time jobs
- Identify possible bottlenecks in the system and perform optimization
- Build dashboards, models and deliver insights to support business analytics
- Monitor and provide support to our infrastructure and production models
- Mentoring team members through code review and knowledge sharing
Job Requirements
- At least 7 years of hands-on experience at large scales in data science / software engineering
- Ability to write clean and structured SQL, Python and Shell programs
- Good experience with infrastructure, including Cloud Computing, Linux OS, Networks, Kubenetes, Docker, Infrastructure as Code, RDBMS and NoSQL Databases
- Good understanding of machine learning techniques and algorithms
- Good experience in serving real-time, production-level machine learning models
- Management experience is preferred
- Excellent communication skills
