🛠 Tech Stack

💼 About This Role

You'll architect the ML ecosystem and productionize innovative algorithms for a mission-driven fintech company. Your work will enable real-time decisions serving millions of distressed borrowers daily.

🎯 What You'll Do

• Design and scale end-to-end ML infrastructure
• Build high-performance pipelines to productionize models
• Design and maintain offline and online feature stores
• Lead monitoring and observability for production models

📋 Requirements

• 5+ years hands-on ML Engineering experience
• AWS ecosystem expertise (Sagemaker, DynamoDB)
• Infrastructure as Code with Terraform, CDK, or CloudFormation
• Python and frameworks like TensorFlow, PyTorch, or Scikit-learn

✨ Nice to Have

• Experience with Snowflake or Databricks
• Experience with Kafka for streaming
• 3+ years data engineering focus

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Medical benefit contributions per local laws