ML Engineer

About Fazz Financial Group Fazz Financial Group is a digital financial services group founded in 2016. It is based in Southeast Asia, and is the holding group for over 10 FinTech startups, which includes PayFazz, Xfers, Modal Rakyat, StraitsX, and others. Fazz Financial Group’s mission is to enable financial access for everyone, especially within Southeast Asia, where 70% of its population is underserved. Fazz Financial Group has headquarters in Singapore and Indonesia, with 600 staff spread across regional offices in Malaysia, Taiwan, and Vietnam. We are proud to be local and knowledgeable about the region, giving an intimate understanding of Southeast Asia’s financial needs. As a local group born and bred in Southeast Asia, companies within Fazz Financial Group are among the first Indonesian startups, and one of the many Singaporean startups to be seeded by the prestigious Y-Combinator programme. We are backed by  both global and local investors including Insignia Venture Partners, B Capital, BRI Ventures, and many others.  We know how important our mission is to improving the livelihoods of millions of people in Southeast Asia. That's why we're looking for passionate and driven people to join us to accelerate financial access for everyone. Head to our website to get to know us better: https://fazzfinancial.com/
About the Team
FFG’s newly-formed data science team focuses on leveraging data to create solutions for an inclusive financial ecosystem in Southeast Asia to improve the lives of millions. In FFG, data science is the key to a safe and easy-to-use all-in-one financial platform for our users. The team’s scope includes many aspects of the business, including areas related to customer onboarding, financial profiling, risk assessment, fraud detection and prevention, customer service, etc. We aim to build a platform that opens up a wide range of financial services to all our users while simultaneously protecting them as well as our business from the ensuing risks.

Roles and Responsibilities

• The team will research and apply data science techniques to create solutions for the challenges faced by the business. We will combine expertise from multiple disciplines of data science, including graph analytics, computer vision, anomaly detection, etc. to create our solutions. The machine learning engineer will work closely with other data scientists, data engineers, and software engineers to bring machine learning models to production. He/she will also help create platforms to make the process of developing and production rising such models more efficient.
• You will work closely with other data scientists and other members of the data, engineering, and product teams to productionize machine learning models. This role requires you to be familiar with the models created using different machine learning frameworks, and the different approaches that could be used to productionize such models given the use case. Some tasks that you will work on include:
• Work with stakeholders (product managers, software engineers, etc.) to understand how the machine learning model will be used in production, and develop an optimal approach to productionize the model
• Work with data scientists to deploy to production and continuously maintain their machine learning models, including developing retraining pipelines for the models
• Create monitoring systems to track the performance of machine learning models
• Collaborate with data engineering teams to create platforms to optimize the process of creating and productionizing machine learning models

What we’re looking for

• BS/MS Degree in Computer Science, Computer Engineering, or Engineering
• At least 1 year of experience in productionizing machine learning models, preferably on Cloud-based platforms
• Hands-on experience in software engineering using python
• Experience with DevOps or cloud platform technologies will be an advantage
• Thrive in a collaborative environment

Nice to haves

• Hands-on experience building machine learning models
• Familiar with Google Cloud Platform and/or Amazon Web Services
• Relevant experience in Payments, Retail or Consumer Financial Services

We love reviewing all the applications we receive, but unfortunately, we may not be able to get back to everyone individually.  If we’d like to move forward with your application, we’ll definitely be in touch!
Fazz Financial Group is an equal opportunity employer. Individuals seeking employment at Fazz Financial Group will be considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, or any other characteristic protected by applicable laws.
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