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Trusting Social
MLOps Engineer
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Lên đến 3500USD

Trusting Social

132 Ham Nghi, TP Hồ Chí Minh

Quy mô công ty : 10-24

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Tóm lược

  • 10-24
  • Product
  • Việt Nam

Senior/Manager Data Scientist

Trusting Social

  • Quận 1, TP Hồ Chí Minh
  • Thỏa Thuận
  •  Toàn thời gian
  •  English
  •  Quản lý
1
1

  •  Ngày Đăng:02/11/2025

  • Hết hạn
Senior/Manager Data Scientist
Hết hạn
Yêu cầu kỹ thuật: Machine Learning , Python , R , Statistics , LLM

Mô tả công việc

Tóm tắt công việc

Trusting Social is an AI Fintech pioneer that's revolutionizing credit access in emerging markets. Our mission is "Advancing AI to Meet the Financial Needs of Everyday Consumers with Empathy." We've assessed over 1 billion consumers across four countries, and we're on a mission to provide 100 million credit lines using the power of AI and Big Data.

How You'll Make an Impact

The 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'll Do

  • Train and Fine-tune LLM Models: Develop and refine large language models to follow instructions, comprehend customer inquiries, and communicate naturally and effectively.
  • Design and Develop LLM Agents: Create and tailor LLM agents to meet specific business needs and objectives.
  • Build Evaluation Frameworks: Establish comprehensive evaluation frameworks to assess the performance and effectiveness of LLM agents.
  • Feedback Collection and Model Improvement: Develop systems for collecting user feedback and iteratively improving model performance based on this feedback.
  • Develop Other ML Models: Design and implement various types of machine learning models to address diverse business needs.
  • Collaboration and Consultation: Work closely with peers, colleagues, and managers to resolve issues and achieve shared goals.
  • Develop other ML models. 

Join our vibrant team and enjoy:

  • Opportunity to work and learn from one of the best and brightest technology teams in Vietnam
  • Be part of a winning team with exponential growth regionally, experience recruiting world-class talents
  • Competitive compensation package, including 13th-month salary and performance bonuses
  • Comprehensive health care coverage for you and your dependents
  • Generous leave policies, including annual leave, sick leave, and flexible work hours
  • Convenient central district 1 office location, next to a future metro station
  • Onsite lunch with multiple options, including vegetarian
  • Grab for work allowance and fully equipped workstations
  • Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday
  • Unlimited free coffee, tea, snacks, and fruit to keep you energized
  • An opportunity to make a social impact by helping to democratize credit access in emerging markets

Yêu cầu công việc

  • Post Graduate degree (Masters  or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer  Science, Economics, or equivalent experience preferred 
  • From 6+ years of professional working experience in applying applying statistical and ML solutions to business problems 
  • Strong proficiency in programming languages such as Python or R.
  • Strong knowledge and hands-on experience on machine learning, or statistics and experimentation
  • Results oriented with strong analytical and problem solving skills
  • Good business acumen with strong ability to solve business problems through data driven quantitative methodologies
  • The ability to communicate results clearly to technical and non-technical audiences
  • Demonstrated ability to research and innovate solutions to solve business problems
  • Experience in bank related products such as unsecured personal loans and credit card is preferred

Ngôn ngữ

    • English

    • Nói: Intermediate - Đọc: Intermediate - Viết: Intermediate

Yêu cầu kỹ thuật

  • Machine Learning
  • Python
  • R
  • Statistics
  • LLM

NĂNG LỰC

  • Analytic Skills
  • Result-oriented
  • Problem Solving Skills
  • Research

Tìm kiếm công việc phù hợp

Thông tin doanh nghiệp

Trusting Social is a Fintech AI company.

Trusting Social is a Fintech AI company who pioneers alternative credit scoring for emerging markets using telecom data and other new data sources. We aim to provide credit scores for 1 billion unbanked consumers who currently do not have access to formal credit. We target emerging markets worldwide, with the initial focus on Southeast Asia and India.

Trusting Social is comprised of Ph.D. data scientists from Stanford Research Institute, Microsoft, IBM etc., and banking leaders from Goldman Sachs, Credit Suisse, and Barclays. Founded in Silicon Valley, Trusting Social is now headquartered in Singapore, with R&D lab in Ho Chi Minh, and offices in Hanoi, Manila, and Jakarta.

Các việc làm khác của nhà tuyển dụng này

  • 10-24
  • Product
  • Việt Nam

Senior AI Product Manager - eKYC

Trusting Social

  • Quận 1, TP Hồ Chí Minh
  • Thỏa Thuận
  •  Toàn thời gian
  •  Quản lý
1
Ngày Đăng: 01/03/2026
Kỹ năng: eKYC, Data Analysis, SaaS, Product Development, Machine Learning, AI (Artificial Intelligence)
  • 10-24
  • Product
  • Việt Nam

MLOps Engineer

Trusting Social

  • Quận 1, TP Hồ Chí Minh
  • Lên đến 3500USD
  •  Toàn thời gian
  •  Có kinh nghiêm (Nhân viên)
1
Ngày Đăng: 05/02/2026
Kỹ năng: MLOps, Java, Linux, Python, Git, MS Virtualization Technologies, OpenCV, Docker, Tensorflow, Software Design, PyTorch, Apache MXNet, Computer Vision, JavaScript, C++, Algorithm, Machine Learning, ONNX

Tìm kiếm công việc phù hợp

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