Our client is seeking a Data Scientist - Generative AI to drive innovation and build cutting-edge AI solutions for advanced analytics. This is an exciting opportunity to work with LLMs like OpenAI GPT, Google Gemini, and Claude , leveraging frameworks such as LangChain and LlamaIndex to develop intelligent, scalable AI systems.

Responsibilities:

• Design, develop, and deploy AI-driven agents for advanced analytics, leveraging AI and machine learning technologies.
• Apply machine learning and deep learning techniques to create solutions that enhance business decision-making.
• Stay up to date with the latest AI advancements and explore their applications to enhance analytics and operational efficiency.
• Collaborate with business teams to gather requirements, define frameworks, and develop scalable AI models.
• Ensure seamless deployment of AI models into production and continuously optimize their performance.
• Contribute to the development of analytics pipelines that support data-driven investment strategies.

Requirements:

• Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, or a quantitative field such as Mathematics, Physics, or Economics.
• 4-6 years of experience in AI, machine learning, and analytics.
• Hands-on experience with large language models (LLMs) such as OpenAI GPT, Google Gemini, and Claude, along with frameworks like LangChain and LlamaIndex.
• Proficiency in building and deploying AI models, including Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., FAISS, ChromaDB).
• Strong programming skills in Python, with experience in backend frameworks such as FastAPI, Flask, or Django.
• Experience with Docker and Git for containerization and version control.
• Familiarity with cloud platforms (AWS, GCP, Azure) for deploying AI models (AWS preferred).
• Passion for AI technologies, continuous learning, and staying ahead of industry trends.

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