Description
You will design, develop, and implement advanced machine learning models, focusing on LLMs and NLP applications.
Responsibilities
- Collaborate with cross-functional teams to solve complex business problems using data-driven approaches.
- Conduct research on state-of-the-art LLM techniques and develop novel algorithms.
- Preprocess and engineer features from large-scale textual datasets for NLP tasks.
- Optimize and deploy machine learning models in production environments.
- Mentor junior team members and drive continuous improvement of data science processes.
Required Skills
- 10+ years of experience in data science or related fields.
- Extensive experience in conversational NLP systems.
- Experience in SLM adaptor fine-tuning, SFT training, and SLM pruning (base and instruct models).
- Experience in retriever frameworks for Q and A bots.
- Experience in contrastive learning and graph learning-based embedding methods with heterogeneous features.
- Strong critical reasoning skills and experience with data-centric NLP/NLI systems.
- Proficiency with LLMs and GenAI.
- Experience with cloud platforms: Aws, Azure, Google Cloud.