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Technical Architect – Machine Learning
QuantiphiTechnical Architect at Quantiphi focusing on architecting and deploying agentic AI systems. Requires expertise in machine learning and multi-agent workflows for production environments.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Architect, build, and deploy production-grade agentic AI systems
- Design and develop end-to-end multi-agent systems
- Own the deployment, scaling, and maintenance of agentic systems on major cloud platforms
- Integrate LLMs to serve as the core reasoning engines
Requirements
What you’ll need- 8-12 years of experience in machine learning and AI engineering
- Expertise in designing autonomous AI systems
- Expert-level Python proficiency with ML frameworks (TensorFlow, PyTorch, Transformers)
- Hands-on experience with vector databases (Pinecone, Weaviate, ChromaDB)
- Production-level experience with at least one major cloud platform (AWS, GCP, or Azure)
Benefits
Comp & perks- Health insurance
- Flexible work arrangements
- Professional development opportunities
ATS Keywords
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Hard Skills & Tools
machine learningAI engineeringPythonTensorFlowPyTorchTransformersvector databasesPineconeWeaviateChromaDB