Senior ML Engineer - Remote, Growth & Impact

FullStack

Santa Fe (NM)

Remote

USD 140,000 - 210,000

Full time

24 hours ago
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Benefits offered by this job

Competitive salary
Paid time off
Remote work
401(k) with 4% match
Education opportunities

Job summary

FullStack seeks 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 on FullStack products. The role requires strong Python, ML, and data analysis skills and a proactive, ownership-driven mindset.

Remote work is supported, with an emphasis on delivering production-ready ML solutions for diverse clients across the Americas. Advanced English and a 4-year degree are required.

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.
  • Strong Python skills and libraries.
  • Experience analyzing structured business datasets is highly preferred.
  • Experience with Agile/Scrum teams.

Responsibilities

  • Design, develop, train, and optimize machine learning models for production use.
  • Analyze data, perform feature engineering, and iterate on models for reliability.
  • Collaborate with clients and internal team on ML solutions and integration.
  • Participate in CI/CD for ML applications and maintain code quality.

Skills

Python
Machine Learning
Data Science
Advanced English
Agile/Scrum

Education

Four-year college degree

Job description

FullStack seeks 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 on FullStack products. The role requires strong Python, ML, and data analysis skills and a proactive, ownership-driven mindset.

Remote work is supported, with an emphasis on delivering production-ready ML solutions for diverse clients across the Americas. Advanced English and a 4-year degree are required.

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