5+ years of experience writing and deploying production quality data science models in languages such as Python, including 2+ years of experience in building Generative AI applications.
Hands-on technical experience with extensive background in deep learning networks using TensorFlow, Keras, Caffe, or similar
In-depth experience in Natural Language Processing (NLP), with a particular emphasis on Large Language Models (LLMs) and Transformer architectures
Knowledge of end-to-end applications development (including front-end user interface and back-end development) for implementing Generative AI applications (hands-on experience in Full Stack Applications development preferred).
Strong innovator who understands the nuances of large language models and in-depth hands-on experience working with LLMs like Claude 3 Sonnet, GPT, LLAMA, Transformer-based architectures or other (Generative Pre-trained Transformer) variants
Proficient knowledge of NLP techniques, including tokenization, language modeling, and embeddings
Strong experience in model fine tuning and performance evaluation
Experience in developing Gen AI applications using LangChain or LlamaIndex Library
Familiarity with database management systems, such as Pinecone, Weaviate DB, vector search algorithms, and LLM embedding layers
Published research in the NLP field is highly desirable but not specifically required, indicating an ability to not only understand but also contribute to cutting-edge research
Experience in Python and SQL
Preferred Requirements :
Experience with distributed training and optimization techniques for large-scale machine learning models
Familiarity with responsible AI frameworks and guidelines.
Published research in the NLP field is highly desirable but not specifically required, indicating an ability to not only understand but also contribute to cutting-edge research.
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Intelligence • MX
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