ML Engineer: From Experimentation to Production (Fintech)

Few&Far; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Few&Far in New York is seeking a Machine Learning Engineer to take models from experimentation to production, delivering practical, scalable solutions in a fintech context.

You will combine hands-on model development with the engineering required to keep models reliable, maintainable, and well-integrated with product teams. Your work will involve building data pipelines, evaluating models, and monitoring performance in production.

Qualifications

• Experience building and deploying machine learning models in a commercial environment.
• Strong programming skills with Python and related libraries, with emphasis on clean, maintainable code.
• Good understanding of data preparation, model evaluation, and trade-offs in modeling approaches.

Responsibilities

• Develop and evaluate machine learning models for real business problems.
• Prepare data and build pipelines to support training and deployment.
• Integrate models into products alongside software engineers.

Skills

Python

ML modeling

Data pipelines

Model deployment

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Few&Far in New York is seeking a Machine Learning Engineer to take models from experimentation to production, delivering practical, scalable solutions in a fintech context.

You will combine hands-on model development with the engineering required to keep models reliable, maintainable, and well-integrated with product teams. Your work will involve building data pipelines, evaluating models, and monitoring performance in production.