Marketing Data Scientist

7 hours ago


Bangalore, India ITC Infotech Full time
Senior Data Scientist Generative AI Location: Kolkata/Bengaluru
Company: ITC Infotech

we are looking for a good Data scientist with Gen AI experience who can join within 0 - 30 days.
The Generative AI (GenAI) Practice Unit at ITC Infotech is a converging point for business & GenAI technology working to conceptualize design and deliver business friendly client solutions. We work closely with our customers to help deliver superior business performance, bringing a strategic perspective on business process improvement and GenAI enablement. The GenAI Practice focuses on enabling Gen AI capabilities both for internal as well external stakeholders and clients.
We are looking for a Senior GenAI Data Scientist with a primary skill set in Generative AI and secondary skillset of Machine Learning. Experience of leading the teams of Data Scientists is desired.
While the primary requirement is for GenAI skillset, the candidate should be open to working either on GenAI or traditional Data Science/Machine Learning projects, depending on project needs.

Overall Experience:

~8-15 years of experience in Advanced Analytics and AI; 5 year of hands-on Gen AI experience.
~ Demonstrated expertise in designing and developing Generative AI applications, with a preference for experience in developing multi agent ai systems, chatbots, information retrieval systems, and enterprise search applications.
~ Desired knowledge and experience in Large Language Models (LLMs) and prompt engineering.
~ Understanding of language models and transformers.
~ Project experience of frameworks such as Lang Chain and Azure AI Search.
~ Integrating with cloud Gen AI models like GPT, Llama, Bard, PaLM, Dall-E.
~ Proven track record of working on information retrieval solutions driven by natural language queries.
~ Hands-on experience with vector databases.
~ Proficient in Python and exposure to SQL and visualization.
~ Preferred experience with data management, statistical modelling, and Machine Learning.
~ Experience in deploying AI applications on cloud platforms using MLOps/LLMOps concepts.
~ Exposure to building data science solutions on cloud (Azure, AWS, GCP, or Databricks).
~ Experience of leading the teams of Data Scientists.
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