Senior Machine Learning Engineer
RapidTrade Solutions LLC
New York, NY, United States
7 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Big Data
C++ (Programming Language)
Distributed Systems
Python (Programming Language)
Machine Learning
Open Source Technology
Tensorflow
Reinforcement Learning
Pytorch
Apache Spark
Information Technology
+1 more
Machine Learning Operations
Job description
We’re looking for a Senior Machine Learning Engineer to join our AI team and help build the next generation of predictive trading models. You’ll work on cutting-edge problems involving time-series forecasting, reinforcement learning, and large-scale data processing., * Design and implement machine learning models for market prediction and risk assessment
- Build and maintain scalable ML pipelines processing billions of data points daily
- Collaborate with quantitative analysts to translate trading strategies into ML systems
- Optimize model inference for sub-millisecond latency requirements
- Mentor junior engineers and contribute to engineering best practices
- Research and evaluate new ML techniques and frameworks
Requirements
- 5+ years of experience in machine learning or related field
- Strong background in Python, with experience in PyTorch or TensorFlow
- Experience with time-series analysis and forecasting
- Familiarity with distributed computing (Spark, Ray, or similar)
- MS or PhD in Computer Science, Machine Learning, or related field
- Track record of deploying ML models to production, * Experience in fintech or quantitative trading
- Knowledge of reinforcement learning
- Contributions to open-source ML projects
- Experience with Rust or C++ for performance-critical code
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