C5i - Artificial Intelligence Engineer - Large Language Models (5-10 yrs)

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence.

The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases.

At the core, C5i's focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.

C5i caters to some of the world's largest enterprises, including many Fortune 500 companies. The company's clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors.

C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.

Global offices : United States | Canada | United Kingdom | United Arab of Emirates| India.

Job Responsibilities :

- We are seeking a highly skilled and experienced Generative AI Data Scientist to join our dynamic team.

- 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.