You will serve as the primary MLOps expert owning the successful launches and ongoing operations of high-profile products in production
Job Summary
You will serve as the primary MLOps expert owning the successful launches and ongoing operations of high-profile products in production.
The role requires driving new feature delivery while maintaining operational excellence through automated CI/CD pipelines and robust monitoring.
You will provide technical guidance to other engineers and foster a culture of collaboration and continuous improvement within a cross-functional agile team.
Matching Summary
You will serve as the primary MLOps expert owning the successful launches and ongoing operations of high-profile products in production.
Skills & Requirements
Must-have
5+ years ML or MLOps experience
Python programming and ML libraries
AWS cloud services and containerization
Jenkins CI/CD pipeline building
DynamoDB real-time feature serving
Production ML system monitoring
Nice-to-have
MLFlow model versioning experience
GenAI and NLP exposure
Databricks platform familiarity
High-volume real-time data support
Automated testing framework knowledge
Model explainability techniques
Key Requirements
5+ years as an ML Engineer or MLOps Engineer
Hands-on production experience with ML model deployment