Назад
Company hidden
6 часов назад

Engineer I - Software (AI/ML)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
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
Engineer I - Software (AI/ML) (Databricks/dbt/AWS): Building and operating production AI and data pipelines in a modern lakehouse environment with an accent on feature engineering, model lifecycle management, and governed data transformations. Focus on designing scalable Spark workloads, deploying and monitoring ML and LLM-enabled systems, and improving reliability and cost efficiency across AWS infrastructure.

Location: Chandler, Arizona, United States; onsite

Company

hirify.global is a large semiconductor and technology company developing products and solutions that power connected and embedded technologies worldwide.

What you will do

  • Design and implement machine learning training and batch inference pipelines on Databricks using Spark and MLflow.
  • Develop, deploy, evaluate, version, and monitor classification, regression, forecasting, NLP, and LLM-enabled workloads.
  • Build embedding pipelines, semantic search systems, and retrieval-augmented generation workflows.
  • Architect dbt Core transformation and data contract layers, including incremental models, snapshots, testing, freshness validation, and CI pipelines.
  • Design and optimize bronze, silver, and gold Delta Lake pipelines, including governance, lineage, access control, and compute efficiency with Unity Catalog.
  • Build secure AWS-based AI workflows, implement CI/CD, resolve production failures, and improve reliability, auditability, and resource utilization.

Requirements

  • 0–3 years of professional experience in AI, machine learning, data engineering, or analytics engineering.
  • Strong production experience with dbt Core and advanced SQL, including performance tuning.
  • Hands-on experience with Databricks, Spark, Delta Lake, and MLflow.
  • Experience building end-to-end AI/ML pipelines on AWS and proficiency in Python for machine learning and data processing.
  • Experience deploying and monitoring AI workloads, including model and data drift monitoring.
  • Ability to work onsite in Chandler, Arizona; travel requirement is 0%–25%.

Nice to have

  • Experience with centralized, versioned feature datasets.
  • Exposure to vector databases or LLM-based systems.
  • Experience implementing model monitoring and drift detection frameworks.
  • Experience supporting near-real-time AI systems.

Culture & Benefits

  • Work in a 17,000-member global technology organization.
  • Employee development supported through leadership and career growth programs.
  • Culture emphasizes trust, empowerment, respect, diversity, communication, and values-based decision-making.
  • Physical work profile includes approximately 80% sitting, 10% standing, and 10% walking indoors.

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 →