Nlp / Data Engineer

1 week ago

Singapore LAWNET TECHNOLOGY SERVICES PTE. LTD. Full time

**About the role**:
As a Data/NLP Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a skilled Data/NLP Engineer to join our team to develop and drive a data strategy to optimise model performance and manage the data pipelines for training and evaluating our custom LLMs.

**Responsibilities**:

- Work closely with domain experts to understand data sources, formats and structure.
- Collaborate with Machine Learning Engineers and MLOps Engineers to understand data requirements for LLM training and inference.
- Engage in data engineering tasks, including data collection, preprocessing, quality control and augmentation to ensure high-quality datasets for model training.
- Develop from scratch and fine-tune both traditional NLP and LLM models on LTS cloud infrastructure, optimizing for safety and performance (measurable via benchmarks).
- Collaborate with domain experts and carry out independent research to optimise and develop product evaluation suites to measure model and product performance.
- Explore and implement techniques for mitigating bias and ensuring fairness within the training data for the LLM.
- Lead in the development and implementation of strategies for data augmentation improve LLM performance.
- Collaborate with AI and MLOps Engineers to integrate NLP models into automated pipelines.
- Stay abreast of the latest NLP techniques and methodologies, experimenting with new models and approaches to maintain our competitive edge.
- Conduct rigorous testing and validation of NLP models to ensure robustness and reliability.
- Document and present model development processes, results, and insights to both technical and non-technical stakeholders.

**Qualifications**:

- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
- Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
- Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
- Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
- Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

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