Quantiphi
1001 - 5000 employees
Founded 2013
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 Series A on 2019-12
Consulting • Healthcare • Logistics
Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.
Architect, MLE
🕒 July 31
🌐 United States, Canada – Remote
⏰ Full Time
🟠 Senior
🔴 Lead
🏛️ Architect
🦅 H1B Visa Sponsor
👻 Ghost score 22%
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Quantiphi
1001 - 5000 employees
Founded 2013
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 Series A on 2019-12
Consulting • Healthcare • Logistics
Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.
📋 Description
• Architect and build agentic systems from scratch • Develop state management systems and memory mechanisms for persistent agent interactions • Deploy production-grade solutions using MLOps practices • Integrate LLMs and optimize performance for autonomous agents
🎯 Requirements
• 8-12 years of experience in architecting ML systems • Expert-level Python proficiency with ML frameworks (TensorFlow, PyTorch, Transformers) • Experience with fast API, async programming, and microservices architecture • Hands-on experience with vector databases (Pinecone, Weaviate, ChromaDB) and building scalable RAG systems • Production-level experience with at least one major cloud platform (AWS, GCP, or Azure)
🏖️ Benefits
• Competitive salary • Flexible working hours • Professional development opportunities • Remote work options
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