Architect ML – AI Researcher

🕒 June 9

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

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Quantiphi

WebsiteLinkedInAll Job Openings

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

• Deliver multi-geography projects for healthcare organizations • Collaborate with Cloud, Software, and Data Engineering teams • Design, build, and evaluate healthcare solutions • Develop high-level solution architectures • Ensure responsible AI practices • Lead technical discussions and mentor senior resources • Contribute to a collaborative team culture

🎯 Requirements

• Ph.D grad with 1+ years related industry experience OR Masters grad with 4+ years industry experience • Industry experience through multiple major product releases in a commercial SaaS environment • Hands-on experience with healthcare data (e.g. EHR, ADT, clinical notes) • Proficiency in Python • Proficiency in Java or other languages is helpful • Proficiency with SQL and data engineering for AI/ML applications • Experience with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks) • Solid understanding of transformer models and LLM-based approaches • Experience with modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM • Experience using public cloud infrastructure (Azure, AWS, or Google Cloud) • Strong communication and collaboration skills

🏖️ Benefits

• Work where innovation happens • Upskill and discover your potential • Impact at one of the fastest-growing AI-first digital engineering companies • Collaborative team culture • Opportunities to learn and grow