Architect, ML – AI Researcher

🕒 August 28

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Apply GenAI and LLM-based ML/AI techniques to develop, scale, and integrate model systems into large-scale cloud-based SaaS healthcare environments • Design, build, and evaluate healthcare solutions including predictive models, summarization, and semantic search • Perform research, experimentation, data management, and model evaluation • Develop high-level solution architectures with offshore big-data engineers and decision science analysts • Build, test, and assess models that predict and optimize client business outcomes • Ensure responsible AI practices covering quality, fairness, and safety using LLM-as-judge, RAGAS, and LangSmith • Translate complex insights into simple, quantifiable business impacts for clients • Lead client discussions on architecture design and troubleshooting • Provide solutions proactively and mentor senior resources and team leads • Collaborate with product, clinical, data science, engineering, and offshore delivery teams • Share knowledge, contribute to team culture, and identify sales opportunities • Provide thought leadership and industry best practices • Lead technology teams and support their performance • Communicate with technical and non-technical stakeholders • Mentor and groom junior team members and guide designs from concept to development • Write clear reports accessible to varied audiences

🎯 Requirements

• 10+ years of experience • Ph.D. graduate with 1+ years of related industry experience OR Master's graduate with 4+ years of industry experience, including at least 1 year directly related to healthcare ML/AI • Multiple major product releases in a commercial SaaS environment • Hands-on experience with healthcare data, such as EHR, ADT, and clinical notes • Proficiency in Python • Proficiency with SQL and data engineering for AI/ML applications • Experience with large datasets and big data frameworks such as Azure Data Lake, Apache Spark, or Databricks • Understanding of transformer models and LLM-based approaches • Hands-on experience with prompt tuning and PEFT methods such as LoRA and QLoRA using Hugging Face Transformers • Experience with NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM • Experience deploying models using Azure, AWS, or Google Cloud • Familiarity with version control, CI/CD pipelines, and production ML scaling • Experience with reinforcement learning or RLHF, NLP techniques, RAG pipelines, or agentic frameworks such as LangChain or LlamaIndex • Leadership, mentoring, conflict management, and stakeholder collaboration abilities • Experience leading multiple large projects • Deep understanding of Agile development • Good to have: statistical tools and techniques; Agile/Scrum/DevOps methodologies • Ability to communicate complex technical subjects to technical and non-technical audiences • Ability to mentor and guide junior team members

🏖️ Benefits

• Upskilling and professional development opportunities • Exposure to cutting-edge AI, ML, data, and cloud technologies • Opportunity to work with Fortune 500 companies • Research-focused organization with innovation opportunities • Collaborative, diverse, transparent culture • Opportunity to work alongside passionate, talented colleagues