Senior Real-Time ML Engineer (AWS, Low-Latency Inference)

TWG Global AI; Santa Monica (CA); On-site; USD 190,000 - 290,000; Full time

Job summary

TWG Global AI is seeking a Senior ML Engineer for AWS and Real-Time Inference in an onsite role located in Santa Monica, CA or New York, NY. You will own the fast path: ingesting live trading data and scoring it in near real time, focusing on streaming, low-latency inference, and timely model retraining.

The role requires strong data/ML engineering experience with streaming systems (Kafka/Kinesis/MSK), proficiency in Go and Python, and production AWS exposure.

Qualifications

• Experience with streaming systems and modern data storage formats.
• Proficiency in Go and Python.
• Production AWS experience.

Responsibilities

• Streaming and storage pipelines for model training and low-latency inference.
• Connect online inference path to run-time model and manage latency under live load.
• Model retraining cadence with accumulating data and drift triggering.
• Productionizing new features and detectors on the fast path with data science.

Skills

Streaming systems

Low-latency inference

Go

Python

AWS

Financial market data familiarity

Event-driven architecture

Tools

Kafka

Kinesis

MSK

Job description

TWG Global AI is seeking a Senior ML Engineer for AWS and Real-Time Inference in an onsite role located in Santa Monica, CA or New York, NY. You will own the fast path: ingesting live trading data and scoring it in near real time, focusing on streaming, low-latency inference, and timely model retraining.

The role requires strong data/ML engineering experience with streaming systems (Kafka/Kinesis/MSK), proficiency in Go and Python, and production AWS exposure.