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2 дня назад

Staff Engineer, Machine Learning (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
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

Staff Engineer, Machine Learning (AI): Delivering impactful solutions in NLP, machine vision, and AI, with an accent on AI/ML architecture design and implementation in data/big data using cloud infrastructure. Focus on designing and deploying AI agents as part of multi-agent systems for autonomous/semi-autonomous decision-making and agent orchestration, understanding of LLMs, and practical experience with Generative AI frameworks.

Company

hirify.global is a Digital Product Engineering company that builds products, services, and experiences that inspire, excite, and delight, with over 17500 experts across 39 countries.

What you will do

  • Understand client’s business use cases and convert them into technical designs.
  • Map decisions with requirements and translate them to developers.
  • Identify different solutions and narrow down the best option for client requirements.
  • Define guidelines and benchmarks for NFR considerations during project implementation.
  • Review architecture and design on aspects like extensibility, scalability, security, and user experience.
  • Carry out POCs to ensure suggested designs/technologies meet the requirements.

Requirements

  • 7+ years of total experience.
  • Strong working experience in machine learning, with a proven track record in NLP, machine vision, and AI.
  • Experience in AI/ML architecture design and implementation in data/big data using cloud infrastructure.
  • Proficiency in Python or R, and experience with data manipulation libraries.
  • Strong understanding of statistical concepts and techniques.
  • Understanding of MLOps and experience with technologies like MLflow, Kubeflow, Docker, and Kubernetes.
  • Experience with AI ethics and responsible AI practices.

Qualifications

  • Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

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