Join IronKite and be part of a team redefining what is possible in data. We are well-funded with the resources of a scale-up and the speed of a startup. As a Junior MLOps Engineer, you will have real ownership, meaningful impact, and the flexibility to work how you work best.
What You'll Do:
- Monitor data quality and build alerting systems for anomalies
- Develop ML models and deploy them to production environments
- Partner with engineering to integrate data products into the platform
- Drive experimentation frameworks and A/B testing infrastructure
- Collaborate with analysts and engineers to define data models
- Design and optimize data warehouse schemas for performance
- Document data assets and maintain data catalog accuracy
What We're Looking For:
- Comfortable working in a collaborative remote environment
- Proficiency with version control and collaboration tools
- Strong foundational skills in your area of expertise
- Eagerness to learn and grow in a fast-paced environment
What We Offer:
- Fully remote — work from anywhere in the world
- Annual learning and development budget ($1,500+)
- Home office setup stipend ($500-$1,000)
- Flexible hours — we trust you to manage your time
- Competitive salary with equity or performance bonuses
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.