Senior Machine Learning Engineer (Traditional ML & Financial Data)

fullstack • United State

Remote

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AI Summary

Lead the design, development, and optimization of traditional machine learning models for production use, focusing on financial and structured business datasets. Work closely with clients either as part of their team or on FullStack’s product teams to deliver AI-driven solutions. Requires 5+ years of ML engineering experience, strong Python proficiency, and expertise in statistical modeling and anomaly detection.

Key Highlights

5+ years of experience in machine learning engineering, data science, or software development with a focus on traditional ML (non-LLM, non-generative AI).

Hands-on experience building, training, and deploying ML models for production with financial or structured business datasets.

Work in either team augmentation mode (client-side integration) or product development (FullStack’s internal teams).

Key Responsibilities

Design, develop, and optimize traditional machine learning models for production use, focusing on financial and structured business datasets.

Collaborate directly with client teams (team augmentation) or FullStack’s product teams to deliver AI solutions.

Develop and refine anomaly detection algorithms to identify irregularities, patterns, and outliers in complex datasets.

Ensure continuous integration and delivery of ML applications with forensic attention to detail.

Work in Agile/Scrum environments to meet project milestones and client commitments.

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Technical Skills Required

Machine Learning Python Statistical Modeling

Benefits & Perks

Competitive Salary

100% remote work

Health, dental, and vision insurance

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Nice to Have

Experience with Cursor, Windsurf, or Google Antigravity

Professional or personal project work with Claude Code, Gemini CLI, Codex, or Copilot CLI

Experience analyzing financial or payroll datasets

Job Description

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.

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