Remote Senior ML Engineer - Production Ready

FullStack; Salem (OR); Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive Salary

PTO

Remote work

Health insurance

401(k) match

Career advancement

Education opportunities

Job summary

FullStack, an AI-native engineering partner, is hiring a Senior Machine Learning Engineer (Traditional ML & Financial Data). You will work with clients in team augmentation or design & build modes, applying production-ready ML to real-world datasets.

Requirements include 5+ years in software/data/ML roles, strong Python, anomaly detection, and experience with financial datasets within an Agile environment. Remote-friendly with opportunities across North America.

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 ML algorithms and statistical modeling, with focus on non-LLM approaches.
• Hands-on experience designing, developing, training, and optimizing ML models for production use.

Responsibilities

• Design, build, and deploy production-grade ML models for client systems.
• Collaborate with client teams or internal product teams on model integration.
• Analyze data, engineer features, and validate model performance.
• Contribute to libraries and pipelines; participate in CI/CD of ML applications.

Skills

Python

ML Engineering

Data Analysis

Anomaly Detection

Feature Engineering

Production ML

Agile/Scrum

Financial Data

CI/CD

Ownership

Education

Bachelor's degree

Tools

SQL

Pandas

NumPy

Scikit-learn

Job description

FullStack, an AI-native engineering partner, is hiring a Senior Machine Learning Engineer (Traditional ML & Financial Data). You will work with clients in team augmentation or design & build modes, applying production-ready ML to real-world datasets.

Requirements include 5+ years in software/data/ML roles, strong Python, anomaly detection, and experience with financial datasets within an Agile environment. Remote-friendly with opportunities across North America.