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Sr. Technical Program Manager – Localization Machine Translation

NLP PEOPLE

Dublin

On-site

EUR 70,000 - 90,000

Full time

Today
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Job summary

A leading technology firm in Dublin is seeking a Machine Translation Technical Program Manager. The ideal candidate will manage technical projects in a high-paced environment, focusing on machine translation systems. With over 5 years of experience in project management and a strong technical background, you will drive project success and improve machine translation processes. Excellent communication skills in English are required.

Qualifications

  • 5+ years of technical project management experience in a related industry.
  • Excellent English-language communication skills, both written and verbal.

Responsibilities

  • Manage model training and machine translation implementation projects.
  • Drive continuous improvement initiatives of MT services and processes.
  • Develop architectures and technical solutions for complex problems.

Skills

Technical project management
Interpersonal skills
Problem-solving
Organizational skills
Data analysis
Ambiguity management
Process automation
Machine translation expertise

Education

Bachelor’s Degree in Engineering, Computer Science, or Computational Linguistics
Job description

Want to work on projects that will change the way Amazon works with our international customers? Like challenging, fast pace environments and have a passion for languages, and other cultures? Want to work on the bleeding edge of Machine Translation technology? The Localization Platform team is looking for a Machine Translation (MT) Technical Program Manager!

The Localization Platform team develops and maintains the tools and systems that deliver localized content to Amazon’s customers in many languages around the globe. Our tools and services are used by all of Amazon’s businesses, including AWS, Kindle and of course, the Amazon websites.

We are looking for a sharp, hands-on Machine Translation Technical Program Manager to manage model training and machine translation implementation projects on behalf of our internal customers. As a MT PM, working closely with MT Engineers, MT Scientists, and MT vendors, you will also drive continuous improvement initiatives of our MT services and process in order to constantly reduce the MT model training time.

The right candidate will possess a strong technical solution architecture and project management background, and will have demonstrated experience leading technical projects with tight deadlines. You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. You will develop and drive high-level strategic initiatives that will help Amazon teams unlock the full potential of machine translation. You will help develop architectures and technical solutions for complex problems, anticipate bottlenecks, provide escalation management, anticipate and make trade-offs, and balance the business needs versus technical constraints. An ability to take large, complex projects and break them down into manageable pieces, develop functional specifications, then deliver them in a successful and timely manner is expected.

Company

Amazon

Responsibilities and Qualifications
  • 5+ years of technical project management experience in a related industry
  • Strong interpersonal skills
  • Strong problem-solving and organizational skills
  • Strong data analysis skills
  • Ability to operate independently in a highly ambiguous environment
  • Ability to define and implement automated business processes from scratch
  • Bachelor’s Degree or equivalent, ideally in Engineering, Computer Science, Computational Linguistics or related technical field
  • Strong interest in Statistical Machine Translation (SMT) and Natural Language processing (NLP)
  • Hands-on experience with machine translation systems
  • External vendors relationship management
Language Requirements

Excellent English-language communication skills, both written and verbal

EEO Statement

Amazon is an Equal Opportunity Employer

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