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WE'RE HIRING
Looking for multiple AI Engineer/ Senior Machine Learning Engineers (not Data Scientists) to support enterprise-scale ML systems in a cloud-native environment (GCP). This is a long-term contract role focused on production-grade ML, model deployment, and MLOps — perfect for someone who’s both deeply technical and comfortable operating at scale.
Role Overview
- Title: Senior Machine Learning Engineer / AI Engineer
- Start Date: ASAP
- Location: Remote / Open to candidates in North America
Must-Have Skills
- Proven experience building and maintaining large-scale, production ML systems
- Strong cloud expertise — ideally in GCP (but we’ll consider AWS or Azure)
- Hands-on with:
- TensorFlow or PyTorch
- Kubernetes and Docker for deployment
- LangChain and/or LangGraph (or similar agentic frameworks)
- Cloud Composer (Airflow) and BigQuery
- Strong coding + engineering background (we're looking for builders, not just modelers)
- Experience with Vertex AI or the GCP ML stack is a major plus
Bonus Skills
- Experience with Autogen, LangGraph, or other multi-agent frameworks
- Comfort with GenAI, prompt engineering, and fine-tuning
- Strong grasp of AutoML, feature engineering, or legacy ML pipeline modernization
Key Skills
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