Architect ML - AI Researcher

Responsibilities

• Apply GenAI and LLM-based ML/AI techniques to develop, scale, and integrate model systems and solutions into large-scale cloud-based SaaS production environments for healthcare.
• Design, build, and evaluate solutions for healthcare use cases (e.g., predictive models, summarization, semantic search), performing research, experimentation, data management, and model evaluation.
• Develop high-level solution architectures, collaborating with offshore big-data engineers and decision science analysts to build, test, and assess models predicting and optimizing client business outcomes.
• Ensure responsible AI practices, including quality, fairness, and safety, using frameworks like LLM-as-judge, RAGAS, and LangSmith.
• Translate complex insights into simple, quantifiable business impacts for clients, cultivating deep relationships by understanding their needs.
• Lead technical discussions on architecture design and troubleshooting with clients, proactively providing solutions, and mentor senior resources/team leads.
• Collaborate across functions (product, clinical, data science, engineering) and with offshore delivery managers to ensure seamless communication and delivery.
• Contribute to a collaborative team culture, sharing knowledge, and identifying sales opportunities.

Requirements

• Ph.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI
• Proven industry experience through multiple major product releases in a commercial SaaS environment.
• Hands-on experience working 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 working 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, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.
• Experience building and evaluating models using modern ML packages such as

Benefits

Additional Information

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! About Quantiphi: Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We've been recognized with: 17x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page . Role: Architect Machine Learning Experience Level: 10+ yrs Work Location: USA - Remote Role Overview: As an ATA Machine Learning Engineer in healthcare, you'll deliver multi-geography projects, empowering healthcare organizations with data ingestion, cloud services, and DevOps. You'll collaborate with Cloud, Software, and Data Engineering teams to build platforms and solutions for digital diagnosis, software as a medical product, and AI marketplaces.

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