Job Responsibility
Data Management:
– Collect, preprocess, and curate large datasets for training and evaluation of NLP, LLM models.
– Implement data augmentation and enhancement techniques to improve model robustness.
Model Deployment:
– Deploy and maintain NLP, LLM models in production environments, ensuring high availability and performance.
– Develop APIs and services to make NLP, LLM capabilities accessible to other teams and applications.
Collaboration:
– Work closely with data scientists, software engineers, and domain experts to understand requirements and deliver tailored NLP solutions.
– Provide technical guidance and mentorship to junior team members.
Performance Monitoring:
– Implement monitoring and logging for deployed models to ensure performance, reliability, and scalability.
– Conduct regular evaluations and fine-tuning of models based on feedback and new data.
Documentation and Reporting:
– Document methodologies, experiments, and results comprehensively.
– Communicate findings and progress to stakeholders through reports and presentations.
Continuous Improvement:
– Stay updated with the latest advancements in NLP, LLM, and AI research.
– Contribute to the continuous improvement of the team’s processes, tools, and methodologies
Skills and experience
Education:
– Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Experience:
– Minimum of 3-5 years of experience in developing and deploying NLP, LLM models.
– Proven experience with large language models (e.g., GPT, BERT, llama, Mistral ..) and deep learning frameworks (e.g., TensorFlow, PyTorch).
Skills:
– Strong programming skills in Python and familiarity with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
– Expertise in machine learning algorithms, neural networks, and statistical modeling.
– Experience with cloud platforms (e.g., AWS, GCP, Azure)
– Strong problem-solving skills and the ability to work independently and collaboratively.
Salary:
$2,000 – $3,500, depending on the candidate’s skills and experience.
Allowances:
- Onboarding allowance, meal allowance, and transportation allowance.
- Flight ticket to return home every six months.
Benefits:
- Provided with necessary equipment and office supplies to support work.
- Annual salary review and extensive promotion opportunities across all positions.
- Participation in company activities such as holiday celebrations, monthly events, running clubs, team building, year-end parties, and annual company trips.
- Bonuses for holidays and special occasions, quarterly and annual outstanding employee awards, project bonuses, and a 13th-month salary++ bonus.
- Commitment to employee competency development through professional training programs.
- Days off: 7 days off per month, flexible scheduling.