Shory is transforming the Insurtech market, introducing a new era where insurance empowers its customers through advanced technology. We are seeking an experienced Data Scientist specializing in Natural Language Processing (NLP) and Generative AI to join our AI and Machine Learning team. The ideal candidate will possess a robust background in deep learning, language modeling, and model deployment, with a proven track record in delivering innovative NLP and AI-driven solutions. You will be involved in various projects focusing on text analysis, conversational AI, and generative models.
Responsibilities:
- Develop and implement state-of-the-art NLP algorithms for text classification, entity recognition, sentiment analysis, conversational agents, and machine translation.
- Research and experiment with deep learning architectures such as Transformers, Large Language Models (LLMs), and autoregressive models for text generation.
- Preprocess and annotate large-scale text datasets to enhance model training.
- Optimize and fine-tune NLP models for performance, accuracy, and efficiency.
- Deploy models to production environments and integrate them into scalable AI-driven applications.
- Collaborate with cross-functional teams, including software engineers and product managers, to align AI solutions with business objectives.
- Stay updated on the latest research and advancements in NLP, generative AI, and deep learning.
- Document methodologies, findings, and model performance metrics for knowledge sharing and transparency.
Qualifications:
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- More than 5 years of experience in Data Science.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong knowledge of NLP libraries like Hugging Face Transformers, spaCy, and NLTK.
- Experience in finetuning and deploying large language models (LLMs) and generative models such as GPT, Llama, DeepSeek, etc.
- Familiarity with MLOps best practices for model lifecycle management and monitoring.
- Solid understanding of unsupervised and self-supervised learning techniques for NLP applications.
- Ability to work with large-scale datasets and distributed computing frameworks.
- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
- Excellent communication skills and the ability to collaborate with multidisciplinary teams.
If you possess the requisite experience and are interested in joining our team, please apply for this position.
