Назад
11 дней назад

Applied AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Serbia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Applied AI Engineer (Agentic ML/AI): Building agentic end-to-end systems and production machine learning solutions for Databricks’ Genie Code, with an accent on model training, serving, monitoring, and forecasting. Focus on architecting scalable ML infrastructure, deploying state-of-the-art models, and solving infrastructure challenges in Tier 0 production environments.

Location: Belgrade, Serbia

Company

Databricks is a Data and AI company providing a unified platform for building and scaling data, AI, analytics, and agent applications.

What you will do

  • Build agentic, end-to-end machine learning systems for software engineers, ML engineers, data engineers, data scientists, and MLOps engineers.
  • Develop and deploy state-of-the-art ML and AI models that improve Databricks products, infrastructure, and services.
  • Architect scalable ML infrastructure, including model training and serving components for production integration.
  • Develop solutions for predictive and what-if business questions, including novel forecasting techniques.
  • Engage with engineering and product teams across Databricks to drive applied ML investment.
  • Contribute to conferences and open-source projects.

Requirements

  • 2–8 years of engineering experience in high-velocity, high-growth companies.
  • Strong software engineering skills and knowledge of testing and deployment principles.
  • Experience developing AI/ML systems at scale in production is beneficial.
  • A strong record of ML modeling beyond standard libraries is beneficial.
  • Infrastructure and systems engineers without an ML background may apply if they are willing to develop their ML expertise.

Nice to have

  • Experience deploying, scaling, and monitoring production models.
  • Understanding of infrastructure challenges involved in training and serving predictions in Tier 0 environments.

Culture & Benefits

  • Work in a small, highly international team of experienced engineers.
  • Flat and agile organizational structure.
  • Opportunity to collaborate with AI and ML experts on cutting-edge models.
  • Comprehensive benefits and perks, with details varying by region.
  • Inclusive workplace committed to equal employment opportunity and diversity.

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