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Senior Research Engineer
Skills
BERTGPT-4Generative AIGoogle GeminiLlamaLarge Language ModelsNatural Language Processing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years of experience in machine learning or NLP, with a focus on deep learning and fine-tuning large models
- In-depth understanding of LLM architectures, including transformers, and hands-on experience in fine-tuning large-scale models
- Proficiency in Python, with expertise in deep learning frameworks like PyTorch or TensorFlow
- Familiarity with techniques such as transfer learning, prompt engineering, and reinforcement learning for language models
- A strong background in handling large datasets and optimizing model performance
- Proven track record of research and innovation in the AI/ML field, including published papers or significant project contributions
Day to day
- Take charge of fine-tuning large-scale pre-trained models to meet specific tasks and performance benchmarks
- Innovate, experiment, and implement novel techniques that make LLMs smarter, faster, and more adaptable
- Collaborate with machine learning researchers, data scientists, and product teams to integrate fine-tuned models into production environments