
Data Science Expert
1 day ago
We are seeking a highly skilled Data Science Expert to join our team. The ideal candidate will have extensive experience in Natural Language Processing, Machine Learning, and Large Language Models.
- The successful candidate will be responsible for designing, developing, and deploying NLP and ML models for real-world applications.
- They will work extensively with LLM frameworks, including Hugging Face Transformers, LangChain Lama Index, OpenAI API, and Vertex AI.
- Fine-tuning large language model embeddings and optimizing vector search using FAISS, Pinecone, Weaviate, Milvus, or Vertex AI Matching Engine will also be part of their responsibilities.
- Additionally, the Data Science Expert will perform data preprocessing, statistical analysis, and experiment design to validate models.
- Collaboration with cross-functional teams, engineering, product, and business to deliver AI-driven solutions will be essential.
- Leveraging cloud ML platforms, such as GCP, to build and scale production-grade ML pipelines will also be required.
- Proven experience as a Data Scientist with 6-9 years of experience, with a strong focus on NLP and ML.
- Hands-on experience with LLM frameworks and libraries, including Hugging Face Transformers, LangChain, LamaIndex, OpenAI API, and Vertex AI.
- Strong programming skills in Python, with ML and AI libraries, including PyTorch, TensorFlow, and Scikit-learn.
- Experience in fine-tuning LLMs embeddings and vector databases, including FAISS, Pinecone, Weaviate, Milvus, and Vertex AI Matching Engine.
- Proficiency in data analysis, statistics, and experiment design.
- Strong understanding of cloud ML platforms, with a preference for GCP.
- Excellent problem-solving, analytical, and communication skills.
- Strong debugging, troubleshooting, and problem-solving skills.
- Excellent collaboration abilities.
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge security challenges.
- A collaborative and growth-oriented work environment with opportunities for career development.
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