Project Technical Specialist I (NLP Engineer)

1 month ago

Project Technical Specialist I (NLP Engineer)



POSITION TITLE : Project Technical Specialist I


DIVISION:  Computer Software Division
Education : Bachelor’s/College Degree in Engineering, Computer Science, Statistics, IT, Physics, Applied Mathematics or any related course (Master's Degree or PhD is not required but is an advantage)
Experience : At least 1 year experience in building AI models
Training : At least 4 hours relevant training
Eligibility : None required
Other Requirements :
  • Skilled in programming/scripting using Python programming language
  • Skilled in data exploration, analysis, and visualization using Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and other related software libraries
  • Should possess outstanding programming skills in text mining, web scraping, data wrangling, and statistical analysis
  • Should be familiar with statistical language models (n-grams) and neural network-based language models (LSTM and Transformers)
  • Skilled in data cleaning and data preparation methods
  • Knowledgeable in different machine learning techniques (classification, clustering, regression, neural networks, etc.), their advantages and disadvantages, and their implementation in Python libraries such as Scikit-learn, Tensorflow, and Keras
  • Knowledgeable in deep learning techniques and algorithms for computer vision problems. Experience in applications of deep learning to geospatial and remotely sensed data is a big plus.
  • ​Must have technical leadership experience
  • Has good communication skills
  • Must be able to work well with a team, adaptable to circumstances, fast learner, and self-motivated
  • Can work with minimal supervision
  • Must be willing to work in Quezon City
Duties and Responsibilities:

Under general supervision and direction, HE/SHE shall perform the following:

  • Design neural network architectures and programs and train deep learning algorithms
  • Develop Neural Machine Translation models from large corpora
  • Report to the technical leads of the project
  • Communicate with the stakeholders about the data engineering required for the training of the AI models
  • Coordinate with the data engineering team for efficient data processing and AI model development
  • Coordinate with the software engineering team for model deployment, model performance monitoring, and visualization
  • Collaborate with program team members to identify gaps and structure problems as well as to propose solutions and strategies to business challenges.
  • Coordinate with the System Engineering Team for the implementation of the defined machine learning operations system
  • Identify, implement, and evaluate existing processes and software frameworks monitoring and analyzing model performance through time
  • Conduct informative talks regarding the developed and established processes and software tools for machine learning model development and model performance monitoring
  • Write technical documentation about scientific findings during the course of the project implementation
  • Report to work on time.
Application Documents:

Interested applicants should submit a letter of intent addressed to Ms. Joanna G. Syjuco, Chief Science Research Specialist,  Computer Software Division, DOST-Advanced Science and Technology Institute at  cc:

  1. Updated Curriculum Vitae;
  2.  Updated Personal Data Sheet with attached worksheet form (downloadable at the CSC website)
  3. Diploma and TOR;
  4. Certificate's of Employment (if applicable);
  5. Training Certificate's (if applicable)
As an advocate of the Equal Employment Opportunity Principle (EEOP), the DOST-Advanced Science and Technology Institute encourages and welcomes all applicants regardless of age, religion, political affiliation including persons with a disability, members of indigenous communities, and those from any sexual orientation and gender identities.