AI Engineer

Entec Partners; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Entec Partners is seeking a Senior AI Engineer to design and deploy advanced ML models for automated trading across asset classes. You will collaborate with researchers, quants, and infra engineers to translate mathematics into production-ready systems.

The role emphasizes low-latency processing, building robust data pipelines, backtesting, and staying at the cutting edge of AI/ML research with real-time market data.

Qualifications

• Advanced degree in a quantitative field (CS/ML/Stats/Math).
• Strong Python programming with ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience with high-performance computing and optimization techniques.
• Knowledge of financial markets and trading concepts across asset classes.
• Experience with C++ for performance-critical components.
• Background in signal processing, NLP, or computer vision.
• Experience with cloud-based ML infrastructure and containerization.

Responsibilities

• Develop and implement ML models to analyze market data, detect patterns, and generate trading signals.
• Design and build data pipelines for processing large volumes of market data.
• Optimize algorithms for low-latency execution in production trading systems.
• Conduct rigorous backtesting and performance analysis of AI-driven trading strategies.
• Stay current with latest developments in AI/ML research and assess applicability to trading.
• Contribute to the firm's ML infrastructure and tooling.

Skills

Python

Machine Learning

ML frameworks

Education

Advanced degree in Computer Science / ML / Statistics / Mathematics

Tools

PyTorch

TensorFlow

scikit-learn

C++

Job description

Technology-driven proprietary trading firm that leverages cutting-edge Al and machine learning to identify and capitalize on market opportunities across multiple asset classes including digital assets, equities, futures, fixed income, FX, and commodities is looking for a Senior Al Engineer.

Their collaborative team combines deep expertise in finance, mathematics, and computer science to develop innovative trading strategies.

You will design, develop, and implement advanced machine learning models and algorithms that drive our automated trading systems. You'll work closely with researchers, quantitative analysts, and infrastructure engineers to transform mathematical concepts into production-ready trading solutions.

Responsibilities

• Develop and implement machine learning models to analyze market data, detect patterns, and generate trading signals


• Design and build data pipelines for processing large volumes of market data


• Optimize algorithms for low-latency execution in production trading systems


• Conduct rigorous backtesting and performance analysis of Al-driven trading strategies


• Stay current with latest developments in Al/ML research and assess applicability to trading


• Contribute to the firm's machine learning infrastructure and tooling

Requirements

• Advanced degree in Computer Science, Machine Learning, Statistics, Mathematics, or related quantitative field


• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)


• Familiarity with high-performance computing and optimization techniques


• Knowledge of financial markets and trading concepts across multiple asset classes


• Experience with C++ for performance-critical components


• Background in signal processing, natural language processing, or computer vision


• Experience with cloud-based ML infrastructure and containerization technologies