Elevate your career with Tiger Analytics as an Agentic AI Engineer, focusing on Generative AI and advanced analytics solutions. Collaborate with top professionals in a agile workplace. This experienced role demands expertise in Machine Learning, Data Science, and cutting-edge AI technologies.
You will create scalable ML systems, build production data pipelines, and ensure the quality of deployed solutions. Your skills will drive impactful strategies and communicate essential results while working alongside cross-functional teams. Key Responsibilities:
Provide solutions for MLE deployment and validation
Create scalable Machine Learning systems for analytics
Build reusable production data pipelines for ML models
Write production-quality code and libraries as containers
Collaborate with cross-functional teams and partners Requirements:
8+ years in AI/ML and data engineering
Proficiency in Python and Generative AI frameworks
Experience with TensorFlow, PyTorch, and Steam
Familiarity with AWS or Google Cloud Platform
Solid prompt engineering and model evaluation skills Drive innovation and business value at Tiger Analytics with your AI expertise.
📌 Agentic Ai Engineer At Tiger Analytics Toronto
🏢 Socket.dev
📍 Toronto
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