- Company Name
- Solomon Page
- Job Title
- Senior ML Engineer
- Job Description
-
Job Title: Senior Machine Learning Engineer
Role Summary: Lead design, development, and deployment of machine learning solutions for equity and fixed‑income trading platforms. Convert research prototypes into production‑ready systems, build scalable ML infrastructure, and collaborate directly with trading and business stakeholders to deliver data‑driven trading insights.
Expectations: Deliver robust, high‑performance ML models that meet real‑time trading requirements within a 6‑month contract. Provide end‑to‑end ownership from feature engineering to model monitoring, and communicate results clearly to both technical and non‑technical audiences.
Key Responsibilities:
- Design, develop, and deploy ML models and applications for trading use cases.
- Build and maintain infrastructure for model training, deployment, and monitoring.
- Perform feature engineering, data preprocessing, and large‑scale data analysis.
- Convert ML prototypes into scalable, production‑grade systems.
- Collaborate with trading teams, business stakeholders, and engineering peers.
- Implement best practices for model performance, scalability, and reliability.
- Ensure robust, efficient, and production‑ready ML systems for equity or fixed‑income trading.
Required Skills:
- Strong programming in Python, Java, or equivalent.
- Deep understanding of ML algorithms, techniques, and evaluation.
- Proficiency with TensorFlow, PyTorch, and Scikit‑learn.
- Extensive experience in feature engineering, data handling, and analysis.
- Proven ability to build infrastructure for training, deploying, and monitoring ML models.
- Hands‑on experience in financial services, specifically trading environments.
- Experience supporting equity or fixed‑income use cases.
- Excellent communication, independent work, and stakeholder collaboration.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Statistics, Engineering, or related field (Master’s preferred).
- Certifications in ML or data science (e.g., TensorFlow Developer, PyTorch, AWS ML, GCP ML) are a plus.