Quantiphi
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
📚 Education
💰 Series A on 2019-12
Artificial Intelligence • Enterprise • Education
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.
Technical Architect – MLE
🔥 0 minutes ago
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Quantiphi
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
📚 Education
💰 Series A on 2019-12
Artificial Intelligence • Enterprise • Education
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 & Build Agentic Systems • Develop custom agent-tools and define specialized agent-skills • Implement advanced context engineering and memory systems • Own the deployment, scaling, and maintenance of agentic systems on major cloud platforms
🎯 Requirements
• 8-12 years of experience in machine learning engineering • 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) • Strong skills in Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins)
🏖️ Benefits
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development
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