Senior Machine Learning Engineer

Posted 7 Days Ago
Be an Early Applicant
DKI Jakarta, IDN
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
Lead system design and architecture for ML services, mentor engineers, set technical direction, deliver AI/LLM systems (chatbots, RAG, OCR), ensure production reliability and scalability, and use SQL/Python for data-driven debugging and decisions.
Summary Generated by Built In

We are hiring a Senior Machine Learning Engineer (SDE3) at Kredivo. This role carries meaningfully more leadership weight than a typical SDE3: beyond individual technical ownership, the successful candidate will mentor engineers, set technical direction within their domain, and influence delivery across teams. We are especially interested in candidates who can bring AI/LLM and agentic systems expertise to bear on real production problems (e.g. chatbots, OCR pipelines, RAG-based tooling) within Kredivo's high-availability fintech environment.

About the Job:

  • Own system design and architecture decisions for services within your domain, balancing correctness, scalability, and delivery speed.
  • Drive code quality through hands-on contribution, thoughtful code review, and enforcement of engineering best practices.
  • Mentor and coach engineers at all levels, actively developing the technical skills of the broader team.
  • Set technical direction for your area and build consensus across engineering, product, and adjacent teams.
  • Represent engineering in cross-team initiatives, influencing technical decisions beyond your immediate team's scope.
  • Lead or significantly contribute to the design and delivery of AI-powered systems (LLM-based chat, RAG pipelines, OCR/document processing, agentic workflows).
  • Ensure the reliability, availability, and throughput of production systems that operate at fintech scale.
  • Use data analysis (SQL, Python) to inform engineering and product decisions, including debugging and root-causing production issues.

Required Qualifications:

  • Track record of leading system design, maintaining high code quality, and reliably delivering complex projects end-to-end.
  • Strong leadership skills: demonstrated experience mentoring engineers, setting technical direction, and influencing outcomes across teams. 
  • Excellent communication skills, able to align stakeholders across engineering, product, and business functions.
  • Solid computer science fundamentals: data structures, algorithms, distributed systems, and API/service design.
  • Preferred Qualifications
  • Hands-on exposure to AI/RAG/LLM systems and agentic architectures (e.g. building or operating chatbots, retrieval pipelines, tool-using agents).
  • Experience designing and operating high-availability, high-throughput production systems, ideally in fintech or another regulated, latency-sensitive domain.
  • Strong proficiency in Python, including for backend services, data pipelines, or AI/ML tooling.
  • Strong SQL skills for data analysis. Comfortable querying, profiling, and drawing conclusions from large operational datasets.
  • Experience with OCR pipelines or document-processing systems is a plus.

#LI-AL1

Skills Required

  • Track record of leading system design, maintaining high code quality, and delivering complex projects end-to-end.
  • Demonstrated experience mentoring engineers, setting technical direction, and influencing outcomes across teams.
  • Excellent communication skills; able to align stakeholders across engineering, product, and business functions.
  • Solid computer science fundamentals: data structures, algorithms, distributed systems, and API/service design.
  • Hands-on exposure to AI/RAG/LLM systems and agentic architectures (chatbots, retrieval pipelines, tool-using agents).
  • Experience designing and operating high-availability, high-throughput production systems, ideally in fintech or regulated, latency-sensitive domains.
  • Strong proficiency in Python for backend services, data pipelines, or AI/ML tooling.
  • Strong SQL skills for data analysis, querying, profiling, and drawing conclusions from large operational datasets.
  • Experience with OCR pipelines or document-processing systems.
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The Company
HQ: Jakarta
1,707 Employees

What We Do

Kredivo Group is Southeast Asia’s leading provider of digital financial services through its brands Kredivo, KrediFazz and Krom. Kredivo is the leading digital credit platform in Indonesia and Vietnam that gives customers instant credit financing for ecommerce and offline purchases, and personal loans, based on real-time decisioning. Kredivo users can buy now and pay later across the entirety of Indonesia’s retail commerce network with one of the lowest interest rates amongst digital credit providers in the country. Krom Bank Indonesia (formerly known as Bank Bisnis Internasional, IDX: BBSI) is the group’s bank entity and the operator of the Indonesian neobank Krom. Kredivo Group is backed by leading financial and strategic investors such as Mizuho Financial Group, Square Peg Capital, Jungle Ventures, Naver Corp, Mirae Asset, Telkom Indonesia and Victory Park Capital among others

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