Senior Machine Learning Engineer
This Staff-level ML Engineer will lead AI/agentic system design for Kredivo’s fintech infrastructure, blending production-grade LLM integrations with mentorship and cross-team technical influence. The role demands deep expertise in scalable, high-availability ML systems while shaping engineering culture and domain-specific roadmaps.
Skills required
About this role
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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