Jobs › Data › Mid-Level MLOps Engineer
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Mid-Level MLOps Engineer
Helios Dev
🌏 Remote (Global)
📅 Full-time
📁 Data
Posted: 2026-06-04

About the Role

Helios Dev is a fast-growing technology company building data tools for modern teams. We are fully distributed and passionate about solving hard problems at scale. As a Mid-Level MLOps Engineer, you will play a key role in shaping our culture from anywhere in the world.

What You'll Do:
- Drive experimentation frameworks and A/B testing infrastructure
- Partner with engineering to integrate data products into the platform
- Create dashboards and reports for business stakeholders
- Collaborate with analysts and engineers to define data models
- Monitor data quality and build alerting systems for anomalies
- Design and optimize data warehouse schemas for performance
- Build and maintain robust data pipelines and ETL workflows

What We're Looking For:
- 3-5 years of relevant professional experience
- Solid understanding of best practices in your domain
- Strong analytical and problem-solving skills
- Excellent written and verbal communication abilities

What We Offer:
- Unlimited PTO and company-wide recharge days
- Flexible hours — we trust you to manage your time
- Fully remote — work from anywhere in the world
- Home office setup stipend ($500-$1,000)
- Health, dental, and vision insurance (or stipend for international hires)

To apply, send your resume and a short note about why you are excited about this role. We review every application and respond within 5 business days.

Required Skills

PythondbtTensorFlowDatabricksKafkaGCP

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Salary Range
$90k-$120k
Per year • Remote