Machine learning Developer
Support and develop advanced machine learning applications
Overview
Support and develop advanced machine learning applications
You have:
- A Master's degree or equivalent in computer science, IT, or related area is required.
- A minimum of 2 to 5 years of experience in PeopleSoft applications development.
- Fluency in spoken and written English is required.
- Familiarity with PeopleCode, PeopleTools, Application Engine, Reporting Tools, Integration broker is required.
- Knowledge of the United Nations Common System is desirable.
Work Location Bangkok
Duties and Responsibilities- Support and Develop web applications using Python and Django framework - Use NLP libraries to create and improve the NLP models in English - Develop Time series models - Support and improve the language models based on the annotations - Provide support and maintenance to the NLP based applications developed whenever required,
Qualifications/special skills Skills: Required Skills: The candidate should be familiar with the PeopleCode, PeopleTools, Application Engine, Reporting Tools, Integration broker. Academic Qualifications: Academic Qualifications: Advanced university degree (Master's degree or equivalent) in computer science, IT or related area. A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree. Experience: Experience: A minimum of two to 5 years of progressively reasonable experience in PeopleSoft applications development in PeopleSoft Tools 8.49 and above. Language: Language: Fluency in spoken and written English is required.
Additional Information Knowledge of the United Nations Common System is desirable.
No Fee THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.
Potential interview questions
| Can you describe a challenging machine learning project you have worked on? | This question assesses your practical experience in applying machine learning techniques. | Discuss a specific project, your challenges, and how you overcame them. |
| How do you approach feature selection for your models? | The interviewer wants to know your thought process in improving model performance. | Pro members can see the explanation. |
| What experience do you have with natural language processing models? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you explain the significance of using time series models in your work? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a situation where you improved an existing model. What steps did you take? | Pro members can see the explanation. | Pro members can see the explanation. |