Architect distributed ML systems from data ingestion to deployment and monitoring.
Build backend services and APIs (REST/gRPC) in Python or Go.
Optimize compute/storage with relational/NoSQL/vector DBs for low-latency inference.
Collaborate across teams to deliver AI-driven market data and trading features.
Leverage AWS/GCP and containers (Docker, Kubernetes) for large-scale compute.
Design/maintain CI/CD workflows for reliable delivery.

🎯 Requirements

Bachelor’s degree in Computer Science or related field.
Experience with Kubernetes, Spark, Machine Learning, Python, Databases, and AWS.
Background checks required.

🎁 Benefits

Challenging, high-impact work to grow your career.
Performance-based compensation with equity and bonuses.
100% paid health insurance for employees.
Lifestyle wallet for wellness and learning.
Life & disability insurance, fertility and mental health benefits.
Generous time off: holidays, PTO, sick time, parental leave.

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