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12 дней назад

Manager, AI Engineering

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
SL
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager, AI Engineering (AI/GenAI): Leading customer-facing AI and machine learning engineering activities, from translating business use cases into technical solutions to deploying end-to-end ML workflows with an accent on solution architecture, technical advisory, and customer delivery. Focus on designing cloud-native AI systems, leading proofs of value, solving complex GenAI/ML challenges, and mentoring machine learning engineering teams.

Location: Colombo, Sri Lanka; hybrid. Travel of up to 50% may be required.

Company

hirify.global is an AI cloud platform company developing open-source and enterprise solutions that combine generative and predictive AI.

What you will do

  • Advise prospects, customers, and partners on data science, machine learning, and GenAI solutions.
  • Own account-related technical work, including planning, project management, and solution design.
  • Translate business requirements into machine learning workflows and systems from data ingestion through model deployment.
  • Develop and demonstrate AI, GenAI, and machine learning solutions, applications, and products.
  • Lead proofs of value and proofs of concept while supporting successful customer delivery.
  • Lead, mentor, and coach machine learning and AI engineers to support their professional growth.

Requirements

  • At least 5 years of relevant sales engineering experience in GenAI/ML in a customer-facing pre-sales role.
  • Bachelor’s, master’s, or higher degree in computer science, mathematics, physics, engineering, statistics, or another quantitative discipline, or equivalent experience.
  • Strong Python knowledge and familiarity with data munging and machine learning libraries.
  • In-depth understanding of machine learning algorithms, GenAI/ML applications, and end-to-end ML pipeline deployment.
  • Experience with AWS, Azure, or GCP cloud architectures and working knowledge of Kubernetes.
  • Excellent communication skills, self-directed working style, and availability for travel of up to 50%.

Nice to have

  • Consultative selling experience.

Culture & Benefits

  • Remote-friendly and flexible working environment.
  • Career growth opportunities.
  • Inclusive workplace focused on responsible AI and AI for Good.
  • Market-leading total rewards and collaboration with a global AI community.

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