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AI Engineering Lead

Posted about 2 months agoViewed

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💎 Seniority level: Lead, 7 years

🔍 Industry: Healthcare

🏢 Company: TailorCare

🗣️ Languages: English

⏳ Experience: 7 years

Requirements:
  • Minimum seven years of experience working in a Data Science/ML Engineer role with a proven track record in building and deploying modern AI systems, including custom LLMs and other advanced AI techniques.
  • Hands-on experience in building and deploying intelligent agents to streamline processes, clinical intake, and/or care customization is preferred.
  • Extensive experience building and deploying ML models with Python (scikit-learn, Tensorflow/PyTorch)
  • Experience transforming data for analysis, business intelligence/reporting, and/or modeling with Python(pandas/numpy), SQL, and/or PySpark/Scala
  • Experience with building AI solutions in a healthcare setting using clinical data to build solutions is highly desirable
Responsibilities:
  • Serve as a specialist/SME on using AI to address complex technical and business issues.
  • Help pioneer novel agentic solutions at TailorCare.
  • Collaborate cross-functionally with stakeholders from engineering, business development, clinical and marketing to execute on our vision of data-centric care.
  • Collaborate with software engineers, data scientists and data engineering on agent/algorithm / models / pipeline development.
  • Align data products with business goals by identifying and championing new areas of opportunity and initiatives aimed at delivering value to patients and providers.
  • Oversee the entire lifecycle of AI projects, including: scoping, design, modeling, validation, deployment.
  • Mentor, coach, and train junior-level and senior-level data scientists and engineers
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