MLOps Engineer (m/f/d) Recommendation Systems
asap
3 months+
remote
Projekt-ID: 30639
- Productionize the Recommendation Engine (MLOps, high availability, scalability)
- Build scalable low-latency APIs (<100ms) serving consistent recommendation payloads across App, Web, and CRM
- Design data pipelines for data integration and model training
- Ensure quality across the ML lifecycle (testing, model comparison, CI/CD)
- Act as technical sparring partner for stakeholders on risks, trade-offs, and feasibility
Anforderungen:
must-have:
-Several years of senior experience in MLOps and productionizing ML models (cloud)
-Proven expertise in building high-performance, low-latency prediction APIs
-Strong skills in data pipeline architecture (batch pipelines, data integration)
-Experience with ML-specific CI/CD: data tracking, model comparison, automated testing
-Ownership mindset: high code quality, proactive communication, challenges requirements
-Fluent English
nice-to-have:
-Engineering background
-Experience with DataRobot, Snowflake, and/or dbt
Ihr Kontakt bei Contractor:
Joshua Zechmeister
+49 89 41 61 716 - 27
joshua.zechmeister@contractor.de