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4 часа назад

Applied Data Scientist (AI)

160 000 - 200 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
Applied Data Scientist (AI): Building and deploying production machine learning models, robust data pipelines, and scalable data infrastructure with an accent on data engineering, ETL workflows, and high-volume data processing. Focus on optimizing real-time and unstructured data workflows, designing reliable production systems, and solving complex data challenges with Python, SQL, Spark, and cloud platforms.

Location: On-site at the New York City office; applicants must be U.S. citizens or nationals or U.S. lawful permanent residents.

Salary: $160,000–$200,000 plus equity

Company

hirify.global builds an AI-native workflow orchestration engine for enterprises and public sector agencies.

What you will do

  • Build, evaluate, and deploy machine learning and artificial intelligence models in production.
  • Design, build, and maintain robust data pipelines and ETL workflows.
  • Optimize data workflows and ensure the reliability and scalability of data infrastructure.
  • Process unstructured data and high-volume real-time sensor data.
  • Collaborate with engineering, research, design, product, and operations stakeholders.
  • Explain complex technical concepts to non-technical stakeholders.

Requirements

  • 5+ years of experience deploying machine learning and artificial intelligence models in production.
  • Production experience with data engineering, ETL development, and data pipelines.
  • Proficiency in Python and experience with Apache Spark or Flink.
  • Strong understanding of databases, data warehousing, and cloud platforms such as AWS, GCP, or Azure.
  • Extensive SQL experience with large datasets and ETL workflow design.
  • Familiarity with Docker, Kubernetes, and workflow orchestration tools such as Airflow or Luigi.

Culture & Benefits

  • Full-time, in-person work within a small, flat, and collaborative technical team.
  • Cross-functional exposure across engineering, research, design, product, and operations.
  • Compensation includes equity.
  • Equal opportunity workplace that welcomes employees from diverse backgrounds.

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