Remote Senior ML Engineer - Production ML for Finance

FullStack; United States; Remoto; USD 150.000 - 230.000; Tempo pieno

Vantaggi offerti da questo lavoro

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

Continuing education opportunities

Descrizione del lavoro

FullStack hires a Senior Machine Learning Engineer specializing in traditional ML and financial data. You will partner with clients, integrate models into production, and contribute to both design and delivery on a dual track: team augmentation or full-stack product work.

Requirements include 5+ years in software/Data/ML roles, strong Python, and solid experience with anomaly detection, feature engineering, and scalable ML pipelines. Advanced English and a four-year degree are essential.

Competenze

• 5+ years of professional experience in software development, Data Science, or Machine Learning Engineering.
• Advanced English is required.
• Bachelor's degree is required.
• Strong expertise in traditional machine learning algorithms and statistical modeling, excluding LLM/Generative AI.
• Hands-on experience deploying ML models to production.
• Experience with data exploration, preprocessing, feature engineering, and modeling with large datasets.
• Experience with anomaly detection algorithms.
• Excellent Python skills and ML libraries.

Mansioni

• Collaborate with clients to integrate ML solutions into production systems.
• Design, train, and optimize ML models for production use.
• Develop features and workflows for data processing and model deployment.

Conoscenze

Python

Data exploration

Feature engineering

Model training

Anomaly detection

Production ML

scikit-learn

Pandas

NumPy

Advanced English

Agile/Scrum

Large datasets

Formazione

Bachelor's degree

Strumenti

scikit-learn

Pandas

NumPy

TensorFlow

PyTorch

Descrizione del lavoro

FullStack hires a Senior Machine Learning Engineer specializing in traditional ML and financial data. You will partner with clients, integrate models into production, and contribute to both design and delivery on a dual track: team augmentation or full-stack product work.

Requirements include 5+ years in software/Data/ML roles, strong Python, and solid experience with anomaly detection, feature engineering, and scalable ML pipelines. Advanced English and a four-year degree are essential.