Senior Machine Learning Engineer — Remote (Finance Data)

FullStack; Pierre (SD); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Health, dental, and vision insurance

401(k) with match

Paid time off

Career advancement

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 or design & build, collaborating with designers and engineers on delivery.

The role requires 5+ years in software, data science, or ML engineering, advanced English, a four-year degree, strong Python and ML libraries, and production ML experience. This is a remote US-wide opportunity with competitive compensation and benefits.

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.
• Hands-on experience designing, developing, training, and optimizing ML models for production use.
• Strong Python skills and experience with data science libraries.

Responsibilities

• Develop and productionize ML models for client projects.
• Collaborate with clients on augmentation or product development.
• Design, build, and optimize ML systems for reliability and scalability.
• Contribute to libraries and workflows used by the team.

Skills

Python

ML model development

Data Science

Statistical modeling

Production ML

Data exploration

Agile/Scrum

Education

Bachelor's degree

Tools

Pandas

NumPy

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 or design & build, collaborating with designers and engineers on delivery.

The role requires 5+ years in software, data science, or ML engineering, advanced English, a four-year degree, strong Python and ML libraries, and production ML experience. This is a remote US-wide opportunity with competitive compensation and benefits.