Q
Machine Learning Engineer
QuantOptimus
Falmouth · On-site Full-time Yesterday
About the role
Location
Falmouth
About
Build innovative machine learning models to power our analytics platform and advance quantitative research in a fast‑paced fintech environment.
Responsibilities
- Develop and deploy sophisticated machine learning algorithms for accurate market signal generation
- Process and analyze large, complex financial datasets to extract actionable insights
- Optimize model performance for low‑latency, real‑time trading applications
- Collaborate with researchers to translate theoretical concepts into practical implementations
Requirements
- Advanced proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, or similar)
- Demonstrated experience with cloud platforms (AWS, GCP, or Azure) for scalable deployments
- Strong knowledge of financial time‑series data analysis and feature engineering
- Background in deep learning and natural language processing is a plus
Skills
AWSAzureGCPPyTorchPythonTensorFlow
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