AI Engineer - NLP/LLMQualgo Technologies

We are seeking a highly skilled AI Engineer with expertise in Natural Language Processing (NLP) and Large Language Models (LLM) to join our AI and Data Team. The ideal candidate will be responsible for designing, developing, and deploying state-of-the-art NLP and LLM solutions to address complex business challenges. This role requires a deep understanding of machine learning, NLP techniques, and experience with large-scale model training and deployment.

Key Responsibilities:

Model Development:

• Design, develop, and enhance NLP and LLM models for diverse applications including customer support, chatbots, and automated assistance tools.
• Conduct research and experiments to advance the state-of-the-art in NLP and LLM.

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.

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.

Preferred Qualifications:

• Experience with multilingual NLP and cross-lingual transfer learning.
• Familiarity with MLOps practices and tools for continuous integration and deployment of ML models.
• Knowledge of distributed computing and big data processing frameworks (e.g., Apache Spark).

● Annual leave 15 days per year

● Health Insurances, social insurance

● Performance review: once per year

● 13th-month salary

● Internal training/sharing and professional Training courses

● Team building, company trip, year-end party, monthly activities,....

● Devices: Macbook and screen (If needed)

● Free tea and coffee

● Comfortable working Area

● Working hours: 9 am-6 pm from Monday to Friday