Machine Learning Engineer

2 weeks ago


Singapore RESEARCHMYUSERS PTE. LTD. Full time

**About the role**

**Key Responsibilities**
- LLM Development:

- Design, develop, and optimize Large Language Models tailored to specific use cases.
- Implement state-of-the-art techniques for training and fine-tuning language models.
- Stay abreast of the latest advancements in NLP and incorporate relevant innovations into model development.
- SLM and MML Integration:

- Extend expertise to incorporate Multimodal Models for tasks involving text, images, and other modalities.
- Model Evaluation and Optimization:

- Perform thorough evaluation of language models, addressing issues related to performance, accuracy, and efficiency.
- Optimize models for deployment in resource-constrained environments, ensuring scalability and real-time processing capabilities.
- Research and Innovation:

- Engage in continuous research to enhance language model capabilities.
- Explore and experiment with emerging techniques and architectures to push the boundaries of language understanding.
- Collaboration and Communication:

- Work closely with cross-functional teams including data scientists, software engineers, and domain experts.
- Clearly communicate complex technical concepts to both technical and non-technical stakeholders.

**Preferred Skills/Qualifications**:

- Exposure to transfer learning techniques for language models.
- Hands-on experience with SLM (Specialized Language Models) and MML (Multimodal Models).

**Qualifications**:

- Advanced degree (M.S. or Ph.D.) in Computer Science, Machine Learning, or a related field.
- Proven experience in developing and deploying Large Language Models.
- Strong programming skills in languages such as Python and proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Familiarity with Specialized Language Models and Multimodal Models.
- Excellent understanding of natural language processing and machine learning algorithms.
- Experience with cloud computing platforms and distributed computing for large-scale model training.
- Strong problem-solving skills and ability to work in a dynamic and collaborative environment.



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