Machine Learning Engineer

Trusting Social is an AI Fintech pioneer that&039;s revolutionizing credit access in emerging markets. Our mission is "Advancing AI to Meet the Financial Needs of Everyday Consumers with Empathy." We&039;ve assessed over 1 billion consumers across four countries, and we&039;re on a mission to provide 100 million credit lines using the power of AI and Big Data.How You&039;ll Make an ImpactThe Credit Insight team consists of highly skilled and passionate data scientists who are committed to staying current with the latest advancements in data science, machine learning, and artificial intelligence. Our team tackles a wide range of areas including credit scoring, fraudulent activity detection, profit optimization, and developing advanced technologies such as conversational AI. By analyzing extensive datasets that capture daily customer behavior, we continuously uncover unique and intriguing machine learning and business challenges. Our goal is to build robust machine learning models that enhance user experience and optimize the profitability of our financial products.What You&039;ll Do●Design and implement ML models to address a variety of business challenges.●Develop systems to collect user feedback and iteratively enhance model performance.●Create and customize AGI agents to align with specific business objectives.●Develop comprehensive evaluation frameworks to assess the performance and effectiveness of AGI agents.●Interpret data and analyze results using statistical techniques, providing detailed reports.●Collaborate effectively with peers, colleagues, and managers to resolve issues and achieve common goals.

What We&039;re Looking For
●Ability to solve business problems through data- driven methodologies and strong business acumen.
●Experience with SQL databases and statistical analysis.
●Excellent analytical and problem- solving skills with a results- oriented mindset.
●Strong knowledge and hands- on experience in machine learning, statistics, and experimentation.
●Experience in big data processing is a plus.
●Familiarity with bank- related products like unsecured personal loans and credit cards is preferred.
●Demonstrated ability to innovate and research solutions for business challenges.
●Proficiency in programming languages such as Python, R, or Java.
●Minimum 2 years of experience in IT, Computer Science, Banking, or Finance.
●Effective communication skills for both technical and non- technical audiences.
**What We Offer
Join our vibrant team and enjoy:
●Convenient central district 1 office location, next to a future metro station
●Comprehensive health care coverage for you and your dependents
●Grab for work allowance and fully equipped workstations
●Onsite lunch with multiple options, including vegetarian
●Generous leave policies, including annual leave, sick leave, and flexible work hours
●Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday
●Opportunity to work and learn from one of the best and brightest technology teams in Vietnam
●Unlimited free coffee, tea, snacks, and fruit to keep you energized
●Competitive compensation package, including 13th- month salary and performance bonuses
●An opportunity to make a social impact by helping to democratize credit access in emerging markets
●Be part of a winning team with exponential growth regionally, experience recruiting world- class talents
At Trusting Social, we live by ownership, integrity, and agility in execution. We believe in doing what&039;s right, what&039;s best, and what&039;s innovative. If you&039;re smart, driven, and want to make a difference in the world with the most advanced and fascinating technology, come join our team. We offer the runway to truly make an impact.
For more information about us, please visit our website: https://www.youtube.com/watch?v=inAEDGvOcL8&t=29s

Competitive compensation package.Convenient office location with easy access to public transportation.Fully equipped workstations and collaborative team environment.Opportunity to work on cutting- edge AI and machine learning projects and make a real impact in the data science community.

Cập nhật gần nhất lúc: 2025-10-21 12:20:02