GoTo, created through the merger between Gojek and Tokopedia, is the largest technology ecosystem in Indonesia, helping people go far, go together.
Job Description
About The Role
As a Lead MLOps Engineer, you must have a comprehensive MLOps skill set, experience as a data architect. Your job scope includes building machine learning pipeline and services, machine learning engineering support. You should be able to enhance the team’s tech stack, improving the reliability and efficiency of the MLOps services.
What You Will Do
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
What You Will Need
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
About The Team
Our data team is part of GoToFinancial Consumer Lending and mainly supports two products: GopayLater and GopayPinjam. The team includes members from offices in Jakarta, Singapore, and Bangalore. We collaborate closely with the Risk, Finance, Growth, and Product teams, assisting them with their data requests on a daily basis.
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