Senior Machine Learning Engineer - Remote & Production ML

FullStack; Billings (MT); A distancia; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive Salary

100% remote work

Health insurance

401(k) matching

Descripción de la vacante

FullStack is seeking a Senior Machine Learning Engineer to join our AI-driven engineering team. You will work with leading startups and Fortune 500 clients on production-grade ML solutions, focusing on traditional ML and financial data.

You will own end-to-end model development, feature engineering, anomaly detection, and CI/CD for ML applications, partnering with client teams and internal product squads in a fully remote role across the Americas.

Formación

• 5+ years of professional experience in software development, data science, or ML engineering.
• Advanced English is required.
• A four-year college degree is required.
• Strong expertise in traditional ML and statistical modeling with a focus on non-LLM/ non-generative AI approaches.
• Hands-on experience deploying ML models to production.

Responsabilidades

• Collaborate with clients in team augmentation or product teams to deliver ML solutions.
• Develop, train, and optimize ML models for production use.
• Perform data exploration, feature engineering, and model evaluation across complex datasets.
• Establish CI/CD pipelines for ML applications and maintain reproducibility.

Conocimientos

Python

Machine Learning

Data Analysis

Agile/Scrum

Communication

Educación

Four-year college degree

Herramientas

scikit-learn

Pandas

NumPy

Descripción del empleo

FullStack is seeking a Senior Machine Learning Engineer to join our AI-driven engineering team. You will work with leading startups and Fortune 500 clients on production-grade ML solutions, focusing on traditional ML and financial data.

You will own end-to-end model development, feature engineering, anomaly detection, and CI/CD for ML applications, partnering with client teams and internal product squads in a fully remote role across the Americas.