Senior ML Engineer – Financial Data (Remote)

FullStack; Jefferson City (MO); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Paid time off

Remote work 100%

Health insurance

401(k) matching

Career advancement

Continued education

Job summary

FullStack is seeking a Senior Machine Learning Engineer to join our team. You will work on traditional ML and financial data projects, delivering robust models into production and collaborating with clients on impactful solutions.

The role emphasizes hands-on development, data exploration, and feature engineering within an Agile environment. This is a remote, client-facing position with ongoing learning opportunities and access to top-tier projects.

Qualifications

• 5+ years of professional experience in software development, data science, or ML engineering.
• Advanced English is required.
• Bachelor's degree or equivalent required.
• Strong expertise in traditional ML algorithms and statistical modeling (non-LLM).
• Hands-on production ML model development and optimization.
• Strong Python and data pipeline skills.
• Experience with anomaly detection on large datasets.
• Experience with finance/payroll datasets is highly preferred.
• Experience with Agile/Scrum teams.

Responsibilities

• Design, develop, train, and deploy ML models for production use.
• Analyze and preprocess data, perform feature engineering.
• Identify and optimize anomalies in datasets.
• Collaborate with clients and team on architectures.
• Contribute to libraries and CI/CD pipelines.

Skills

Python

ML engineering

Data preprocessing

Feature engineering

Anomaly detection

Agile/Scrum

Problem solving

Education

Bachelor's degree

Tools

Scikit-learn

Pandas

Job description

FullStack is seeking a Senior Machine Learning Engineer to join our team. You will work on traditional ML and financial data projects, delivering robust models into production and collaborating with clients on impactful solutions.

The role emphasizes hands-on development, data exploration, and feature engineering within an Agile environment. This is a remote, client-facing position with ongoing learning opportunities and access to top-tier projects.