Senior Machine Learning Engineer
Jakarta, ID
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s listing: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full-Time
From the employer’s posting
What you’ll work on
Full postingOwn system design and architecture decisions for services in your domain
Lead or significantly contribute to AI-powered systems such as LLM chat, RAG and OCR
Mentor and coach engineers at all levels
Ensure reliability, availability and throughput of production systems
Use SQL and Python data analysis to debug and root-cause production issues
From the employer’s posting
Own system design and architecture decisions for services within your domain
Lead or significantly contribute to the design and delivery of AI-powered systems (LLM-based chat, RAG pipelines, OCR/document processing, agentic workflows)
Mentor and coach engineers at all levels
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
What you’ll bring
All qualificationsCore experience
- Track record of leading system design and delivering complex projects end-to-end
- Demonstrated experience mentoring engineers and setting technical direction
- Solid computer science fundamentals: data structures, algorithms, distributed systems, API design
- Excellent communication skills to align engineering, product and business stakeholders
Preferred experience
- 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.
- Experience with OCR pipelines or document-processing systems is a plus.
Qualification wording
Track record of leading system design, maintaining high code quality, and reliably delivering complex projects end-to-end
demonstrated experience mentoring engineers, setting technical direction, and influencing outcomes across teams
Solid computer science fundamentals: data structures, algorithms, distributed systems, and API/service design.
Excellent communication skills, able to align stakeholders across engineering, product, and business functions.
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.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- 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:
- 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.
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 6, 2026 · 77 days ago
- Recorded sightings
- 130
- Last seen by us
- Oct 23, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on kredivo-group.breezy.hr. The employer’s form will show what is required.
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Job description
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.
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Source details
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- Pay
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- Location & working pattern
Jakarta, ID
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