Marathon TS
AI

Machine Learning Engineer

Marathon TS ·

Actively hiring Posted 4 months ago

**Machine Learning Engineer

100% Remote**

Marathon TS is seeking a Machine Learning Engineer to support the implementation and monitoring of ML modules in production environments. This role is heavily software engineering-focused. The ideal candidate has strong Python skills, experience deploying ML models into production, and cloud experience (preferably GCP).

Responsibilities:

  • Implement and deploy new ML modules into production
  • Monitor ML systems to ensure reliability and business continuity
  • Standardize ML processes and production workflows
  • Integrate ML models with APIs and cloud-based systems
  • Maintain CI/CD pipelines for ML deployment

Requirements:

  • 4+ years of Software Engineering experience
  • 1+ year of ML or Data Science experience
  • Strong Python
  • SQL
  • Git
  • Experience with CI/CD tools
  • Cloud experience (GCP preferred, AWS acceptable)
  • Experience deploying ML models into production environments

This is not a data engineering or research-focused role.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Remote Machine Learning Data Science Data Engineer Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.