Inshorts - Lead Data Scientist

Responsibilities

The successful candidate will be responsible for leading , building and operationalizing a variety of recommendation algorithms and NLP models including summarization, question-answering, semantic search, named entity recognition, knowledge discovery, document understanding, and text

We are seeking a skilled NLP Engineer / AI expert to join our team as lead data scientist.

• Lead data-driven projects from definition to execution, from gathering data, defining metrics to communicating actionable insights
• Propose innovative solutions by exploratory data analysis from complex and high-dimensional datasets, applying statistical and modeling techniques to evaluate performance, make valuable discoveries and solve non-routine analysis problems
• Use a flexible, analytical approach to design predictive models and advanced algorithms that lead to optimal value extraction from the data
• Analyze large sets of news data set from various sources, including websites, wikis, conversation platforms, social media platforms, and databases
• Build NLP/AI models to extract knowledge from these sources and create appropriate models which will indirectly or directly help our content publishers in their day to day operations.
• Develop response blending and summarisation models to provide an overview of search results from these sources
• Be involved in operationalizing these models in highly demanding production environments
• Conduct regular tests of the models to ensure they meet desired metrics on both benchmark and usage datasets

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• Experience in deep learning frameworks (Tensorflow or PyTorch)
• Experience with NLP models, frameworks, and libraries (Hugging Face, Haystack, etc)
• Experience with fine-tuning LLMs as well as prompt engineering on GPT models (good to have)
• Experience with Python
• Strong problem-solving and analytical skills
• Minimum 7 years of related job experience

(ref:iimjobs.com)