Archived on
SentiLink is hiring a
Machine Learning Engineer
About SentiLink
At SentiLink, we stop identity fraud at scale. Our products protect banks, fintechs, marketplaces, and leading financial institutions from synthetic identity fraud, identity theft, and emerging threats — analyzing millions of applications while keeping real users moving fast.
Job Description
Build and productionize ML models for real-time fraud detection. Work with data engineers and platform teams to design features, run experiments, and deploy scoring pipelines that balance precision and latency. Experience with XGBoost, PyTorch, feature stores, and real-time scoring is preferred; you’ll collaborate across distributed systems to deliver customer-facing ML products.Remote
Remote Conditions
Remote (global) with some roles designed for hybrid/in-office work; coordination across US and India timezones
Salary
Not Specified
Benefits
Not Specified
Tech Tags
Apache KafkaFeature StoresGoKubernetesPostgreSQLPyTorchPythonRedisRustScalaSnowflakeTerraformXgboost
Date Listed
05 May, 2026 (3 months ago)
Loading...
Share this job
This job is archived, but you can still apply.
SentiLink has 2 other jobs listed
