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MLOps Engineer

KNOREXā€¢šŸŒ Remote Worldwide•Estimated: $80,000 - $120,000

✨ AI Insights & Summary

Knorex is at the cutting edge of programmatic advertising, leveraging AI to unify marketing channels and deliver real-time audience connections. This MLOps Engineer role presents an exceptional chance to contribute to a sophisticated, in-house machine learning platform that powers billions of requests daily. If you're a passionate engineer eager to tackle large-scale, low-latency ML systems and influence the future of AI in advertising, this is a prime opportunity to grow with a globally recognized tech company.

About Knorex

Founded in 2009, Knorex is a technology company specializing in programmatic advertising products and solutions for marketers. Their flagship platform, Knorex XPO, unifies major marketing channels (social media, search, CTV/OTT, video, audio, display/native, email) and uses AI automation for simplified execution and optimization. Knorex operates across the US and APAC.

About the Role

Knorex is seeking passionate MLOps Engineers to work on their in-house machine learning platform. This platform covers the entire ML lifecycle, from data collection and augmentation to model training, serving, monitoring, and analysis. You will join the R&D team, collaborating closely with Data Scientists, Research Scientists, and Software Engineers to build a highly scalable system capable of handling billions of requests per day with millisecond latency.

You will work on large-scale, low-latency ML systems, gaining a deep technical understanding of the platform. You'll collaborate with a cross-country team to learn business and technical analytics requirements and translate them into production systems.

Key Responsibilities

  • Plan, design, and develop components for the data pipeline to enable various machine learning models in production.
  • Collaborate closely with Data Scientists and Research Scientists to translate state-of-the-art research into production systems.
  • Develop metrics to measure the outcome and impact of introduced solutions.
  • Investigate existing pipelines, identify bottlenecks, and optimize the throughput and latency of ML components.
  • Evaluate and identify new technologies for implementation.
  • Communicate with business and technical teams to understand analytics requirements.

Requirements

  • Strong knowledge of Java, Python.
  • Strong knowledge of algorithms and data structures.
  • Strong analytical and problem-solving skills.
  • At least 1 year of working experience as an ML/Data/Software Engineer or equivalent.
  • Understanding of online advertising technology and RTB is a strong plus.
  • Willingness to learn and ability to pick up new technologies or concepts quickly.
  • Ability to work independently and collaboratively with minimum supervision.
  • Familiarity with using LLMs and AI coding assistants for development is a plus.
  • Reasonable communication skills in written and spoken English.

Benefits

  • Competitive remuneration package including quarterly bonus and performance review opportunities.
  • Full participation in mandatory insurance programs in accordance with Vietnamese Labor Law.
  • Healthcare insurance package and annual health check-up.
  • Comprehensive benefits scheme such as W3F (Work, Wellbeing, Welfare) Fund for courses, materials, personal health, and wellbeing.
  • Work from home benefits.
  • Opportunity to influence and drive changes within the company.
  • Great learning opportunities with exposure to cutting-edge performance marketing and advertising technology.
  • Opportunity to work cross-country and on a variety of projects.

Apply Now

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Job Overview

Posted6/10/2026
CategoryFullstack Development
SourceJobsCollider

FAQ

Is this position remote?

The MLOps Engineer role is a remote opportunity. The location specified is Remote Worldwide.

What is the salary?

The salary is not explicitly stated, but is competitive and based on experience.

How do I apply?

You can apply by clicking the "Apply for this role" button above to submit your application on the hiring website.

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