Senior ML Engineer - Production ML for Finance (Remote)

FullStack; Indianapolis (IN); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

100% remote work

Health, dental, and vision insurance

401(k) match

Paid time off

Job summary

FullStack is seeking a Senior Machine Learning Engineer (Traditional ML & Financial Data) to join our team. You will work with clients in two modes: Team Augmentation and Design & Build, delivering production-ready ML models.

We value strong Python skills, traditional ML expertise, and experience deploying ML solutions in production. This is a 100% remote role with opportunities to work with startups and Fortune 500 companies.

Qualifications

• 5+ years of professional experience in software development, Data Science, or Machine Learning Engineering.
• Advanced English is required.
• Four-year college degree required.
• Strong expertise in traditional ML algorithms and statistical modeling (non-LLM).
• Hands-on experience designing, training, and optimizing ML models for production.

Responsibilities

• Develop and productionize traditional ML models for client projects.
• Collaborate with clients and product teams on design & build initiatives.
• Engineer anomaly detection algorithms to identify irregular data patterns.
• Contribute to libraries and CI/CD pipelines for ML deployment.

Skills

Python

Machine Learning

Data analysis

Production ML

Agile/Scrum

Big data

Education

Bachelor's degree

Tools

Pandas

NumPy

TensorFlow

PyTorch

CI/CD

Job description

FullStack is seeking a Senior Machine Learning Engineer (Traditional ML & Financial Data) to join our team. You will work with clients in two modes: Team Augmentation and Design & Build, delivering production-ready ML models.

We value strong Python skills, traditional ML expertise, and experience deploying ML solutions in production. This is a 100% remote role with opportunities to work with startups and Fortune 500 companies.