Назад
Company hidden
3 дня назад

Principal Data Architect (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Europe
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:
/

TL;DR

Principal Data Architect (AI): Defining and driving the technical vision for CloudBlue’s data and insights platform with an accent on scalable data models and AI-enabled solutions. Focus on architecting machine learning systems for real-time data processing, building high-performance feature engineering pipelines, and implementing MLOps practices.

Location: Remote (Global), with a primary focus on candidates based in the EU. Position will be performed outside of Ontario.

Company

hirify.global provides enterprise-grade cloud services and web hosting solutions to individuals and small to medium-sized businesses worldwide.

What you will do

  • Architect and design ML systems capable of processing millions of real-time data points using feature stores and inference pipelines.
  • Lead architectural decision-making for data and ML systems through RFC processes to ensure scalability and statistical rigor.
  • Build high-performance feature engineering pipelines and scalable data architectures.
  • Collaborate with DevOps to optimize ML infrastructure, including Kubernetes, cloud platforms, and GPU clusters.
  • Mentor Senior Data Scientists and ML Engineers in MLOps, systems thinking, and statistical practices.

Requirements

  • Degree in STEM (Computer Science, Engineering, Applied Mathematics) or equivalent practical experience.
  • 5+ years of combined experience across Data Engineering, Data Architecture, and Data Science.
  • Expertise in cloud environments (AWS, GCP, or Azure) and modern data platforms (Snowflake, Databricks, or BigQuery).
  • Advanced proficiency in Python, SQL, and data science libraries (pandas, NumPy, scikit-learn).
  • Experience orchestrating data pipelines using Airflow, dbt, Spark, or Kafka.
  • Proven track record of deploying machine learning models to production using MLOps principles.

Nice to have

  • Experience developing billing and rating systems for AI-driven or consumption-based models.
  • Hands-on experience building RAG pipelines or API-based AI workflows.

Culture & Benefits

  • Work from anywhere remote opportunity.
  • Competitive salary based on unique skill sets.
  • Career advancement and professional development opportunities.
  • Flexible work arrangements to support work-life balance.
  • Inclusive and diverse company culture built on trust and respect.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →