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3 дня назад

Senior Specialist Solutions Engineer (AI/ML)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Senior Specialist Solutions Engineer (AI/ML): Architecting production-grade ML applications on the hirify.global Data Intelligence Platform with an accent on GenAI, LLMOps, and RAG architectures. Focus on designing end-to-end pipelines, building MVPs for complex business challenges, and leading deep-dive technical sessions.

Location: London, United Kingdom (Travel up to 30% required)

Company

hirify.global is the data and AI company providing a unified Data Intelligence Platform for over 10,000 organizations worldwide.

What you will do

  • Lead the architectural design of production-grade ML workloads across the entire MLOps lifecycle, from pipeline creation to cloud integration.
  • Build MVPs and lead deep-dive technical sessions to strategically align ML/data science solutions with complex customer business challenges.
  • Serve as a technical advisor for GenAI solutions, specializing in RAG architectures and enterprise knowledge bases.
  • Drive platform adoption and community growth through technical tutorials, training materials, and industry conferences.
  • Collaborate with Solution Architects to guide customers in aligning their technical roadmaps with the hirify.global platform.

Requirements

  • Technical background in Data Science, Machine Learning, and Data Engineering.
  • Hands-on experience developing cloud infrastructure (AWS/Azure/GCP) for ML deployment and drift monitoring.
  • Proficiency in NLP, vector databases, LLM fine-tuning, and tools such as HuggingFace, Langchain, and OpenAI.
  • Experience working with distributed Spark-based systems.
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, etc.) or equivalent practical experience.
  • Ability to communicate and teach technical concepts to both technical and non-technical audiences.

Nice to have

  • 2+ years of customer-facing experience in a pre-sales or post-sales role.
  • Experience using Apache Spark™ to process large-scale distributed datasets.

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