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4 дня назад

Senior AI/ML Engineer (Healthcare)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

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TL;DR

Senior AI/ML Engineer (Healthcare): Designing and deploying scalable AI/ML solutions for a clinical trial technology platform with an accent on LLM fine-tuning and NLP for sensitive healthcare data. Focus on building fault-tolerant distributed systems and integrating AI-driven development tools to accelerate drug development processes.

Location: Remote (Work From Anywhere)

Company

hirify.global develops an end-to-end clinical trial management ecosystem to digitize and accelerate drug development.

What you will do

  • Design, develop, and deploy scalable AI systems to securely manage and process sensitive healthcare data.
  • Fine-tune large language models (LLMs) and implement NLP solutions for complex language comprehension.
  • Apply advanced AI/ML algorithms to solve specific challenges in the life sciences and healthcare domains.
  • Collaborate with cross-functional teams to translate business requirements into efficient technical solutions.
  • Ensure the reliability, scalability, and fault tolerance of AI systems in production environments.
  • Take full ownership of project deliverables within a fast-paced environment.

Requirements

  • 8+ years of experience designing and implementing secure, scalable, and fault-tolerant distributed systems.
  • Proficiency in Python with deep understanding of async programming and streaming.
  • Hands-on experience in developing and deploying AI/ML solutions.
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Familiarity with the life science or healthcare domain.
  • Experience with AI-driven development using GitHub Copilot.

Nice to have

  • Experience in regulated industries.
  • Master's degree in Computer Science or a related field.

Culture & Benefits

  • Work From Anywhere policy.
  • 18 days of paid annual leave and 10 sick leaves.
  • Comprehensive medical care and health check-ups.
  • Budget for training, certifications, and attendance at conferences.
  • Access to Tech Talks and IT Cluster membership.
  • Corporate currency and internal team activities.

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