Director, Data & Analytics Engineering
Core
Design and deploy machine learning models for data-driven decisions, implement distributed training systems, and build APIs for real-time predictions.
Role type
Director, Data & Analytics Engineering
Builds
Scalable ML infrastructure, real-time prediction APIs, and distributed training systems for financial data.
Domain
Financial Services / Machine Learning
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Linear regression, Decision trees, K-nearest neighbors, Linear algebra, Calculus, Probability, Statistics, Feature extraction, Data normalization, Handling missing values
Preferred skills
Large Language Models (LLMs) for content generation and feature derivation
Technologies
Numpy, Pandas, Matplotlib, Scikit-learn
Responsibilities
Design and deploy ML models, implement distributed training systems, analyze historical data to create labeled training sets, build APIs for real-time predictions, automate code integration and deployment, ensure secure connections between cloud and on-premises systems
Seniority
Director, strategic leadership with hands-on technical execution
