Architect, ML – AI Researcher

This is a fully remote position, open to applicants in United States.

📋 Description

• Utilize GenAI and LLM-centered ML/AI methodologies to design, expand, and incorporate model systems into extensive cloud-based SaaS healthcare settings.

• Architect, construct, and assess healthcare solutions that encompass predictive models, summarization, and semantic search functionalities.

• Conduct research, experimentation, data management, and model assessment.

• Create high-level solution architectures in collaboration with offshore big-data engineers and decision science analysts.

• Develop, test, and evaluate models aimed at predicting and enhancing client business results.

• Uphold responsible AI practices, ensuring quality, fairness, and safety through methods like LLM-as-judge, RAGAS, and LangSmith.

• Convert intricate insights into straightforward, measurable business impacts for clients.

• Facilitate client discussions regarding architecture design and troubleshooting processes.

• Offer proactive solutions while mentoring senior resources and team leaders.

• Collaborate with product, clinical, data science, engineering, and offshore delivery teams.

• Share expertise, contribute positively to team culture, and identify potential sales opportunities.

• Provide thought leadership and promote industry best practices.

• Lead technology teams and enhance their performance.

• Engage with both technical and non-technical stakeholders effectively.

• Mentor and develop junior team members, guiding projects from concept to execution.

• Compose clear reports that are accessible to a diverse audience.

⛳️ Requirements

• A minimum of 10 years of professional experience.

• Ph.D. holder with over 1 year in a related industry role OR a Master's degree holder with 4+ years of industry experience, including at least 1 year specifically in healthcare ML/AI.

• Proven track record with multiple major product launches in a commercial SaaS landscape.

• Practical experience with healthcare data, including EHR, ADT, and clinical notes.

• Advanced proficiency in Python.

• Strong skills in SQL and data engineering tailored for AI/ML applications.

• Familiarity with large data sets and big data frameworks, including Azure Data Lake, Apache Spark, or Databricks.

• Knowledge of transformer models and LLM-oriented strategies.

• Hands-on experience with prompt tuning and PEFT methods such as LoRA and QLoRA using Hugging Face Transformers.

• Proficient in tools such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.

• Experience deploying models on platforms like Azure, AWS, or Google Cloud.

• Understanding of version control, CI/CD pipelines, and scaling production ML.

• Familiarity with reinforcement learning or RLHF, NLP techniques, RAG pipelines, or agentic frameworks such as LangChain or LlamaIndex.

• Strong leadership, mentoring, conflict resolution, and stakeholder collaboration skills.

• Proven experience leading multiple large-scale projects.

• In-depth knowledge of Agile development methodologies.

• Desirable: expertise in statistical tools and techniques, as well as Agile/Scrum/DevOps practices.

• Ability to convey complex technical concepts to both technical and non-technical audiences.

• Capability to mentor and support junior team members.

🏝️ Benefits

• Opportunities for upskilling and professional growth.

• Exposure to state-of-the-art AI, ML, data, and cloud technologies.

• Chance to collaborate with Fortune 500 companies.

• Research-focused environment with avenues for innovation.

• A collaborative, diverse, and transparent organizational culture.

• Opportunity to work alongside dedicated and talented colleagues.