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, productive, 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
Robust 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
Transparent communication and collaboration skills

Nice to Have
Startup experience
Fintech background

📌 Machine Learning Engineer Bengaluru
🏢 Kredivo Group
📍 Bengaluru