Lead MLOps Engineer

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 TeamOur 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.