Data Scientist

Required skills:

Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms
Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers.
Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT
Practical experience with large language models, prompt engineering, fine-tuning and benchmarking, using frameworks such as LangChain and LlamaIndex
Strong Python background
Knowledge of AWS, GCP, Azure, or other cloud platform
Understanding of data modeling principles and complex data models.
Proficiency with relational and NoSQL databases as well as vector stores (e.g., Postgres, Elasticsearch/OpenSearch, ChromaDB)