Senior ML Engineer (Finance) — Remote Production ML

FullStack Labs, Inc.

Charlotte (NC)

Remote

USD 140,000 - 170,000

Full time

34 hours ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
401(k) with 4% match
PTO
Continuing education opportunities
Career advancement

Job summary

FullStack is seeking a Senior Machine Learning Engineer to work on traditional ML and financial data projects. You will collaborate with client teams or a FullStack product squad to deploy reliable ML solutions and maintain production-grade models.

The role requires strong Python, data processing, and statistical modeling skills, plus experience with structured financial datasets. Remote options in the USA are available, with an emphasis on delivering visible business value.

Qualifications

  • 5+ years in software development, data science, or ML engineering.
  • Advanced English required.
  • Bachelor's degree required.
  • Strong ML/statistical modeling with non-LLM approaches.
  • Hands-on production ML model development.
  • Experience with financial or structured datasets preferred.
  • Strong Python and data libraries.

Responsibilities

  • Join client teams or work on FullStack product teams to deliver ML solutions.
  • Design, develop, train, and optimize ML models for production use.
  • Perform data exploration, preprocessing, and feature engineering.
  • Identify anomalies and outliers in large datasets.
  • Collaborate in Agile/Scrum environments.

Skills

Python
Traditional ML
Data analysis
Agile/Scrum
Production ML

Education

Bachelor's degree

Tools

Pandas
scikit-learn
NumPy
Docker

Job description

FullStack is seeking a Senior Machine Learning Engineer to work on traditional ML and financial data projects. You will collaborate with client teams or a FullStack product squad to deploy reliable ML solutions and maintain production-grade models.

The role requires strong Python, data processing, and statistical modeling skills, plus experience with structured financial datasets. Remote options in the USA are available, with an emphasis on delivering visible business value.

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