Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Developing generative and predictive AI solutions for enterprise stakeholders with an accent on AI agent evaluation and responsible AI frameworks. Focus on building scalable RAG applications, fine-tuning LLMs, and creating robust evaluation pipelines for healthcare technology.

Location: Entirely Remote (Work from Anywhere)

Company

hirify.global is a leading healthcare organization leveraging AI and data science to drive digital transformation and improve healthcare delivery.

What you will do

• Collaborate with business stakeholders to identify high-impact use cases and deliver end-to-end analytical AI solutions.
• Design and implement robust evaluation capabilities for AI agents and ML solutions, incorporating Responsible AI principles.
• Develop RAG-based applications using LLM orchestration tools such as LangChain and LlamaIndex.
• Build and deploy AI/ML models using cloud platforms including AWS Sagemaker, Azure ML, or Vertex AI.
• Utilize SQL and BigQuery to assemble complex datasets and extract valuable insights from diverse enterprise data.
• Translate technical findings into actionable business insights through reports, presentations, and data visualizations.

Requirements

• Master's degree in Analytics, Mathematics, Physics, Computer Science, or Engineering (or Bachelor's with 3+ years of additional experience).
• 3+ years of professional experience using Python for AI/ML development.
• Hands-on experience with LLM APIs (e.g., GPT-4, Gemini, Claude) and orchestration frameworks.
• Proficiency in SQL and BigQuery for independent data assembly and analysis.
• Experience building and implementing evaluation pipelines for AI/ML solutions.
• Strong communication and presentation skills to articulate complex AI solutions to stakeholders.

Culture & Benefits

• Fully remote work environment with a "Work From Anywhere" policy.
• Opportunity to work at the forefront of Generative AI and agentic AI within the healthcare sector.
• Focus on R&D and staying current with the latest research in RAG, fine-tuning, and AI agents.
• Collaborative cross-functional environment involving Engineering, Product, and Governance teams.