Qualifications & Skills
Experience: professional experience in data science, machine learning, and AI, with specific experience in NLP, LLMs, and GenAI applications.
- Education: Bachelors or masters degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
- Programming Languages: Strong proficiency in Python is mandatory, with experience in data science libraries like NumPy, Pandas, and Scikit-learn. Knowledge of SQL is also essential for data extraction and manipulation.
- AI/ML Frameworks: Expertise deep learning frameworks such as PyTorch and TensorFlow. Familiarity with Hugging Face transformers, NLTK, or SpaCy is also common.
- GenAI/NLP Specific Tools & Techniques:
- Experience with LLM frameworks like LangChain and LlamaIndex
- Proficiency in NLP techniques include embeddings, topic modeling, text classification, semantic search, and summarization.
- Cloud Platforms: Hands-on experience with major cloud computing services (AWS, Azure, Google Cloud Platform) for model deployment and leveraging services like Azure OpenAI, Google Vertex AI, or AWS Bedrock.
About the company
Company website•Software Development
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