Senior ML Engineer - Financial Data, Production AI (Remote)

FullStack; Topeka (KS); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Competitive salary

Paid time off

Health insurance

401(k) matching

Career growth

Continuing education

Job summary

FullStack is seeking a Senior Machine Learning Engineer (Traditional ML & Financial Data) to join our team. You will work with leading clients through team augmentation or by designing and building FullStack products, applying traditional ML approaches to production systems.

You will lead data exploration, model training, anomaly detection, and feature engineering on complex financial datasets, using Python and ML libraries, with a strong emphasis on production readiness and CI/CD.

Qualifications

• 5+ years of professional experience in software development, data science, or ML engineering.
• Advanced English is required.
• Four-year college degree is required.
• Strong expertise in traditional ML and statistical modeling (non-LLM/Generative).
• Hands-on experience building ML models for production.
• Experience with feature engineering and model training on complex datasets.
• Experience identifying anomalies/outliers in data.
• Proficiency in Python and ML libraries.
• Experience analyzing financial or payroll datasets is highly preferred.
• Ownership mindset with analytical problem solving.
• Ability to maintain CI/CD for applications.
• Attention to detail and proactive attitude.
• Experience working on Agile/Scrum teams.
• Ability to work on large, complex systems.
• Strong communication and collaboration within teams.

Responsibilities

• Collaborate with client teams to integrate ML into products.
• Design, train, validate and deploy ML models for production.
• Maintain CI/CD pipelines for ML applications.

Skills

Python

Machine Learning

Data analysis

Agile/Scrum

Education

Bachelor's degree

Tools

NumPy

Pandas

scikit-learn

TensorFlow/PyTorch

Job description

FullStack is seeking a Senior Machine Learning Engineer (Traditional ML & Financial Data) to join our team. You will work with leading clients through team augmentation or by designing and building FullStack products, applying traditional ML approaches to production systems.

You will lead data exploration, model training, anomaly detection, and feature engineering on complex financial datasets, using Python and ML libraries, with a strong emphasis on production readiness and CI/CD.