ML Engineer
CreatorIQInfluencer Marketing company
Toronto, CanadaMid
Insight Partners
Upfront Ventures
Canaan Partners
Bessemer Venture Partners
Bain Capital Ventures
Data & AI
About the role
TL;DR
Deploy and monitor ML systems, build evaluation stacks, and maintain vector embeddings.
- •As a Machine Learning Engineer, you'll work on deploying models, building evaluation systems, and making data and infrastructure decisions for our ML systems.
- •Key Responsibilities Deploy and monitor ML systems in production Own the evaluation stack for ML systems Build and maintain vector embeddings ecosystem Partner with Data Science on annotation workflows Improve MLOps foundations Requirements 4-7 years of professional software or ML engineering experience Strong Python skills Experience deploying and monitoring models in AWS or GCP Production experience with NLP or ML systems Practical experience with evaluation for ML systems Collaborative communicator
Required skills
PythonNLPLLMsMLflowKubeflowscikit-learnPandasNumPyAirflowKubernetesCI/CDDocker
Tech stack
PythonAWSNLPLLMsMLflowKubeflowscikit-learnPandasNumPyAirflowKubernetesCI/CDDocker