Senior ML Engineer — Remote, Production‑Ready FinData

FullStack; Little Rock (AR); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Health insurance

401(k) match

Paid time off

Career growth

Education stipend

Job summary

FullStack is recruiting a Senior Machine Learning Engineer to join our team. You will work with leading clients in two models: team augmentation or design & build, applying traditional ML and statistical modeling to production-ready pipelines.

Requirements include 5+ years in software/data science/ML engineering, strong Python, experience with financial or structured data, and excellent English. This role offers 100% remote work from the United States and collaboration on Agile teams.

Qualifications

• 5+ years of professional experience in software development, Data Science, or Machine Learning Engineering.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Strong expertise in traditional machine learning algorithms and statistical modeling, with a focus on non-LLM and non-Generative AI approaches.
• Hands-on experience designing, developing, training, and optimizing machine learning models for production use.
• Strong proficiency in data exploration, preprocessing, feature engineering, and model training using complex datasets.
• Demonstrated experience developing and optimizing anomaly detection algorithms to identify irregularities, patterns, and outliers in data.

Responsibilities

• Team augmentation: you will integrate into our client's team and work with their designers and engineers daily.
• Design & Build: you will work on a FullStack product team to build and deliver a product to our clients.

Skills

Python

Production ML

Data Science

Agile/Scrum

English proficiency

CI/CD

Anomaly detection

Financial data analysis

Feature engineering

Model training

Education

Bachelor's degree

Tools

Pandas

NumPy

scikit-learn

TensorFlow

PyTorch

Job description

FullStack is recruiting a Senior Machine Learning Engineer to join our team. You will work with leading clients in two models: team augmentation or design & build, applying traditional ML and statistical modeling to production-ready pipelines.

Requirements include 5+ years in software/data science/ML engineering, strong Python, experience with financial or structured data, and excellent English. This role offers 100% remote work from the United States and collaboration on Agile teams.