Senior ML Engineer - Production ML for Finance (Remote)

FullStack; Gainesville (FL); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive Salary

Paid Time Off

100% remote work

Work with startups and Fortune 500s

Health, dental, and vision insurance

401(k) with 4% match

Career advancement opportunities

Continuing education opportunities

Job summary

FullStack in the United States is seeking a Senior Machine Learning Engineer (Traditional ML & Financial Data). You will work directly with clients via team augmentation or design & build on a FullStack product team to deliver ML solutions.

The ideal candidate has 5+ years in software, data science or ML engineering, advanced English, a 4-year degree, and strong Python with production ML experience. This role is fully remote with US work authorization and offers competitive salary and

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.
• Experience analyzing financial, payroll, or other structured business datasets is highly preferred.
• Proactive, ownership-driven mindset with strong analytical and problem-solving skills.

Skills

Python

Data analysis

Machine Learning

Agile/Scrum

English proficiency

Production ML

Education

Bachelor's degree

Tools

scikit-learn

Pandas

Job description

FullStack in the United States is seeking a Senior Machine Learning Engineer (Traditional ML & Financial Data). You will work directly with clients via team augmentation or design & build on a FullStack product team to deliver ML solutions.

The ideal candidate has 5+ years in software, data science or ML engineering, advanced English, a 4-year degree, and strong Python with production ML experience. This role is fully remote with US work authorization and offers competitive salary and