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VACANCY NOTICE NO: SSA/2024/LSP/GS 5
DEADLINE FOR APPLICATION:
1 November 2024
Under Recruitment
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POST
CONSULTANCY: Machine Translation & Workflow Consultant
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GRADE
N/A
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DUTY STATION
Geneva, Switzerland
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COMMENCEMENT OF DUTY
To be determined
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NATURE OF APPOINTMENT
Variable (depending on needs of Department/Division)
6 months (50%)
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ORGANIZATIONAL UNIT
Linguistic Services and Publication (LSP)
Governance Services Department
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WMO is committed to achieving diversity and a balanced workforce. Applications are welcome from qualified women and men, including those with disabilities. The statutory retirement age after 1 January 2014 is 65. For external applicants, only those who are expected to complete the term of appointment will normally be considered.
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DUTIES AND RESPONSIBILITIES
Under the supervision of the Linguistic Support Services Officer, the incumbent will perform the following duties:
A) First part: retraining of Microsoft Custom Translator models:
- Export WMO bitexts from eLUNa, WMO computer-translation assisted tool, for the years 2022-2024 for the following language pairs: English > Arabic, Chinese, French, Russian and Spanish;
- Clean up the exported bitexts by removing duplicates, same language matches, empty targets, misalignments, etc.;
- Retrain Microsoft Translator models per above language pairs (English > Arabic, Chinese, French, Russian and Spanish) and train the reversed models (Arabic, Chinese, French, Russian and Spanish > English);
- Evaluate the retraining results based on automatic scoring (BLEU/COMET) for the retrained Microsoft models and provide a report on scoring results to LSP;
- In cooperation with WMO linguists, complete human evaluation of the retrained Microsoft models for the five language pairs listed above;
- Provide a report on human evaluation of retrained Microsoft models;
- In cooperation with Linguistic Services Support Officer, prepare bilingual glossaries based on WMO terminology and acronyms for integration into Microsoft Translator models;
- Retrain all Microsoft Translator models using the prepared glossaries for each language pair;
- Evaluate the results of retraining based on the integration of glossaries for each language pair and provide a report on retraining outcome;
- If the retraining results are not satisfactory, take action to improve the existing engines to the extent possible, or conduct research and recommend an alternative solution;
- Train the Linguistic Services Support Officer and any relevant staff member as deemed necessary by LSP on retraining models and provide guidance material for future retraining and engine maintenance;
- Present the results of retraining to LSP stakeholders;
- Document the procedure for retraining and evaluation of models;
- Carry out other relevant duties as required.
B) Second part: Implementation of a custom translation service in Azure using Power Automate flow-based to connect to the custom Microsoft Custom Translator:
- Implement a translation workflow in Azure using a Power Automate flow-based to connect to the custom Microsoft Translator machine translation models, allowing LSP staff to translate entire documents (Word docs, Excel spreadsheets, PowerPoint presentations) from a given SharePoint location or pasted text;
- Create a custom Microsoft Form for translation of pasted text or launching the workflow for translation of entire document(s) based on given criteria (selection of languages, selection of folder, etc.);
- The form should give the user the option of selecting whether to use standard Microsoft Translator engine and/or trained custom Microsoft Translator models;
- Translated documents should be saved in a given SharePoint location;
- Translated documents should be marked by a disclaimer (the text to be provided by LSP) in the target language;
- Notification of completion of task or error to be sent to specified email address(es);
- Make the necessary tests and adjustments to ensure proper functioning of the flow and Azure interface for all the language pairs;
- Train the Linguistic Services Support Officer and any relevant staff member as deemed necessary by LSP on Azure and Power Automate flow and other related components;
- Organize a training workshop for the stakeholders involved in the process to give an overview of the project;
- Document the implemented procedures and workflows and other related components adapted to LSP needs;
- Carry out other relevant duties as required.
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QUALIFICATIONS
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Education
University degree in information technology, computer science, language technology or related field.
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Experience
Proven experience in:
- Training and retraining of machine translation models (Microsoft and other engines).
- Developing a custom translation workflow and front-end form utilizing Microsoft tools: Azure, Power Automate, custom Translator, SharePoint, Forms, and other Microsoft resources, as necessary.
- The contractor should have at least 2 or 3 years of experience.
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Other requirements
- Knowledge of training and retraining of machine translation models (Microsoft Translator required, other engines a distinct advantage).
- Knowledge of Microsoft tools (Azure, Sharepoint, Forms, Power Automate, etc.).
- Ability to set up flows with Power Automate.
- Ability to transfer knowledge by documenting processes and providing training.
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Languages
Excellent knowledge of English (both oral and written). Knowledge of other official languages of WMO would be an advantage.
(Note: The official languages of the Organization are Arabic, Chinese, English, French, Russian and Spanish.)
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Additional Information:
Focal point email for additional information: seymann@wmo.int
Applications should be made online through the WMO e-recruitment system at https://erecruit.wmo.int/public. Do not send your application via multiple routes. Only applicants in whom WMO has a further interest will be contacted. Shortlisted candidates may be required to sit a written test and/or an interview.
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| Date of issue of vacancy notice:
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This vacancy is shown for viewing only. Please follow instructions within the announcement if it is open for application.
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E-RECRUITMENT
