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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
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
- 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
- Startup experience
- Fintech background
Key Skills
Ranked by relevance
machine learning
message queues
microservices
postgresql
rabbitmq
grafana
datadog
python
docker
mysql
kafka
flask
cloud
cicd
sql
sqs
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Login to Apply
- Posted
- Jan 28, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Bengaluru
- Company
- Kredivo Group
Industries
Financial Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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Senior Software Engineer
2026-06-15
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Australia
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Engineering
View Job Details
Related
Site Reliability Engineer
2026-06-18
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View Job Details
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Data Analyst (Business Intelligence, Python, Machine Learning, Power BI) - Bangalore
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