Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$132к-165к/год
$170к$190кмедиана$230к
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Чётко описанная senior-роль в AI у крупной компании включает серьёзные задачи по внедрению моделей, облакам и платформенной инженерии, но гибридный формат в Цинциннати и отсутствие визового спонсорства ограничивают доступность.
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Современный стек
Понятная зона ответственности
Ограничения по локации
?Возможны переезды
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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