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4 дня назад

Senior AI Engineer

132 200 - 165 300$
Формат работы
hybrid
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
Senior AI Engineer (Python/SQL/Azure): Developing, operationalizing, and scaling algorithmic products and AI applications with an accent on data modeling, cloud-native deployment, and distributed architectures. Focus on operationalizing machine learning models, building multi-cloud infrastructure and CI/CD pipelines, and troubleshooting critical AI systems.

Location: Hybrid schedule at the Cincinnati, OH office, United States

Salary: $132,200–$165,300 per year, plus bonus if applicable and benefits.

Company

Procter & Gamble develops consumer products and uses data, analytics, and AI to drive business impact.

What you will do

  • Partner with Data Scientists, Analysts, Business teams, and other AI Engineers to develop, operationalize, integrate, and scale algorithmic products.
  • Run proof of concepts and experiments to evaluate models, technologies, features, and solution architectures.
  • Build data models, model features, data quality checks, ETL/ELT pipelines, and distributed computing architectures.
  • Design and develop applications sourcing data from multiple systems using Python and SQL.
  • Deploy and support AI and machine learning solutions across Azure and/or GCP, including cloud-native services and multi-cloud environments.
  • Apply DevOps, Agile, CI/CD, and platform engineering practices; troubleshoot infrastructure, improve reusable libraries and design patterns, and coach others.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
  • 5+ years of proven experience with Python, SQL, data modeling, design, development, and deployment of Data and Analytics products.
  • Experience with Agile and DevOps methodologies, Jira, GitHub Actions, unit testing and mocking, static code analysis such as SonarQube, and source control tools such as GitHub.
  • Knowledge of Azure cloud infrastructure, including load balancing, autoscaling, firewalls, and authentication.
  • Knowledge of Databricks, logging and monitoring technologies such as Logstash, Grafana, or Kibana, and CI/CD development using GitHub Actions and GitHub.
  • Knowledge of infrastructure build tools and languages, including Terraform and Ansible.
  • Strong written and verbal English communication skills.
  • Ability to work a hybrid schedule in the Cincinnati, OH-based office.

Culture & Benefits

  • Work in a Data, Analytics, and AI job family focused on transforming complex data into actionable insights.
  • Total rewards include salary, bonus if applicable, and benefits.
  • Career mobility may involve different assignments, locations, and business challenges; candidates should be prepared to consider relocation opportunities throughout their careers.
  • Equal employment opportunities and disability accommodation support are provided.
  • Immigration sponsorship is not available for this role.

Hiring process

  • Apply through the online application process and review the employer’s work authorization requirements.
  • Contact the accommodation support service if a disability affects completion of the online application.

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