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.
Top Skills
What We Do
GoTo is the largest technology group in Indonesia, combining on-demand, e-commerce and financial services through the Gojek, Tokopedia and GoTo Financial brands. It is the first platform in Southeast Asia to host these three essential use cases in one ecosystem, capturing a majority of Indonesian consumer household expenditure. GoTo’s mission is to “Empower Progress” by offering an unparalleled selection of goods and services through a comprehensive merchant and partner network and promoting financial inclusion through its leading payments and financial services business.
