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Mid-Level MLOps Engineer
IronKite
📍 Remote (US)
📅 Full-time
📁 Data
Posted: 2026-06-06

About the Role

IronKite is a product-led company helping businesses scale their data capabilities. We hire exceptional people and give them the autonomy to do their best work. If you are a Mid-Level MLOps Engineer who thrives in high-ownership environments, we would love to hear from you.

What You'll Do:
- Develop ML models and deploy them to production environments
- Document data assets and maintain data catalog accuracy
- Monitor data quality and build alerting systems for anomalies
- Partner with engineering to integrate data products into the platform
- Collaborate with analysts and engineers to define data models
- Design and optimize data warehouse schemas for performance
- Build and maintain robust data pipelines and ETL workflows

What We're Looking For:
- Proven ability to deliver projects independently
- Experience working cross-functionally with multiple teams
- Solid understanding of best practices in your domain
- 3-5 years of relevant professional experience
- Excellent written and verbal communication abilities

What We Offer:
- Unlimited PTO and company-wide recharge days
- Parental leave and family-friendly policies
- Company-wide team retreats twice per year
- Annual learning and development budget ($1,500+)
- Fully remote — work from anywhere in the world

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

PythonSparkdbtSnowflakeTensorFlowPandas

Ready to Apply?

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Salary Range
$75k-$100k
Per year • Remote