Machine Learning Engineer (SDE 2)

Posted 12 Days Ago
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Bangalore, Bengaluru Urban, Karnataka
In-Office
Mid level
Fintech • Payments • Financial Services
The Role
Responsible for building and optimizing ML microservices, writing production code in Python, maintaining APIs, and collaborating with teams to deploy ML features.
Summary Generated by Built In

About the Role

We're looking for an ML Engineer to build and own the systems that bring machine learning models into production. You'll work at the intersection of software engineering and ML—designing microservices, building APIs, optimizing for performance, and ensuring our models run reliably at scale.

This is a hands-on engineering role. You'll spend most of your time writing production Python, building and maintaining APIs, making architectural decisions, and collaborating closely with data scientists and product teams to ship ML-powered features.

About the Work

  • Own the end-to-end lifecycle of ML microservices—from design through deployment and monitoring
  • Build and maintain APIs that serve ML models to internal and external consumers
  • Partner with data scientists and product teams to translate business requirements into technical solutions
  • Write clean, efficient, and maintainable code that others can build on
  • Take ownership of and improve our existing codebases, systems, and workflows
  • Communicate technical concepts clearly to both engineers and non-technical stakeholders

About You

  • Bachelor's degree in Computer Science or equivalent
  • 3–5+ years of backend engineering experience, with at least 3 years in Python
  • Strong experience building APIs with Flask or FastAPI
  • Solid experience with databases and SQL (PostgreSQL, MySQL, or similar)
  • Experience with cloud platforms (AWS/GCP)
  • Hands-on experience with message queues (RabbitMQ, Kafka, or SQS), Docker, and CI/CD pipelines
  • Familiarity with monitoring tools (Datadog, Grafana) for tracking latency, errors, and alerts
  • Experience deploying ML models in production
  • Clear communication and collaboration skills

Nice to Have

  • Startup experience
  • Fintech background

Top Skills

AWS
Datadog
Docker
Fastapi
Flask
GCP
Grafana
Kafka
MySQL
Postgres
Python
RabbitMQ
Sqs
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The Company
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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