17 AI Engineer jobs

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.

Job requirement

• Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 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).
• 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.

• A competitive salary package reflecting your skills, experience, and contributions.
• Support with accommodation, meals, and working visa arrangements.
• Holiday and New Year bonuses.
• Provision of essential work equipment (MacBook/iPhone)
• A professional, dynamic, and inclusive work environment.
• Financial support for home visits twice a year.