Our MNC client is seeking a Data Scientist (GenAI) 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).
- Exposure to Agentic AI frameworks is a plus.
- Passion for AI technologies, continuous learning, and staying ahead of industry trends.
- Experience in the real estate industry is a plus.
- Excellent communication, collaboration, and problem-solving skills.
