17 Aug
|
Thinkpivot
|
Toronto
17 Aug
Thinkpivot
Toronto
Must-Have Skills
- Experience with large-scale, production ML systems
- Strong cloud background â ideally GCP (Google Cloud Platform), but open to AWS or Azure if they're robust
- Hands-on ML tooling:
- TensorFlow or PyTorch
- Kubernetes and Docker (for deployment)
- LangChain and/or LangGraph (or similar agentic frameworks)
- Cloud Composer (Airflow)
- BigQuery
- Vertex AI and GCP ML stack experience (preferred)
- Strong coding + engineering background (not just academic modeling)
Bonus Skills
- Experience with Autogen, LangGraph, or similar agentic frameworks
- Prompt engineering and fine-tuning GenAI models
- Background in AutoML solutions or legacy ML pipelines
- Strong feature engineering and statistical modeling foundations
📌 ML Engineer (Toronto)
🏢 Thinkpivot
📍 Toronto