Course5 Intelligence

Job Responsibilities :

- This role focuses on leveraging Deep Learning, specifically in Natural Language Processing (NLP), to develop innovative applications using Large Language Models (LLMs).

- The ideal candidate will have a robust background in statistical machine learning, Python programming, and experience in deploying production grade applications.

- You will be instrumental in pioneering projects that integrate advanced AI techniques to solve complex problems across various domains.

- Design, develop, and deploy advanced models based on Large Language Models (LLMs), focusing on natural language understanding and generation.

- Implement and optimize retrieval algorithms to enhance model performance.

- Utilize the Langchain framework for developing scalable and efficient AI solutions.

- Integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities.

- Apply the Retrieval-Augmented Generation (RAG) framework to improve the contextual relevance of generative models.

- Work closely with cross-functional teams to define problem statements, scope out and prototype solutions that leverage the full capabilities of generative AI.

- Ensure robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development.

- Maintain up-to-date knowledge of technology advancements in AI, machine learning, and cloud services to enhance organizational capability.

Requirements & Qualifications :

- 5+ years of proven work experience in Data Science.

- Specialized in Deep Learning (NLP) and statistical machine learning.

- Strong Python skills.

- 1+ years (preferably 2 years) of experience in developing LLM (Large Language Models) applications.

- Experience with developing production-grade applications.

- Well-versed with Langchain framework.

- Familiarity with one of the vector databases: Azure Cognitive Search, Weavite, or Pinecone

- Clear understanding and work experience with different retrieval algorithms.

- Familiarity with the RAG (Retrieval-Augmented Generation) framework.

- Experience with Microsoft Azure cloud services