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 dynamic environment. 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
- Robust 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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