Module Lead (Search and Match)

Asks for

• Bayesian statisticsThe ad says“Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods”
• classifiersThe ad says“Experience in feature selection, building and optimising classifiers.”
• clusteringThe ad says“Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods”
• crewaiThe ad says“Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc)”
• decision treesThe ad says“Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods”
• deep learningThe ad says“Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods”
• ElasticsearchThe ad says“Experience with Solr/OpenSearch/Elasticsearch .”
• embedding & vector searchThe ad says“Experience with embedding & vector search”
• ensemble methodsThe ad says“Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods”
• feature selectionThe ad says“Experience in feature selection, building and optimising classifiers.”
• FlaskThe ad says“Experience working with backend technologies such as Flask/ Gunicorn etc.”
• GensimThe ad says“Experience on working with open source library such Spacy,NLTK,Gensim etc”
• GunicornThe ad says“Experience working with backend technologies such as Flask/ Gunicorn etc.”
• instance-based learningThe ad says“Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods”
• langChainThe ad says“Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc)”
• large language modelsThe ad says“Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc.”
• LLM/RAGThe ad says“Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design.”
• machine learningThe ad says“Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc.”
• neural networksThe ad says“Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods”
• NLPThe ad says“Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc.”
• NLTKThe ad says“Experience on working with open source library such Spacy,NLTK,Gensim etc”
• OpenSearchThe ad says“Experience with Solr/OpenSearch/Elasticsearch .”
• predictive modellingThe ad says“Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc.”
• prompt engineeringThe ad says“Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc)”
• PythonThe ad says“Expert knowledge in Python.”
• PytorchThe ad says“Experience on working with deep-learning library such as Tensor flow, Pytorch etc”
• query understandingThe ad says“Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design.”
• regressionThe ad says“Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods”
• reranker designThe ad says“Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design.”
• semantic retrievalThe ad says“Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design.”
• SolrThe ad says“Experience with Solr/OpenSearch/Elasticsearch .”
• SpacyThe ad says“Experience on working with open source library such Spacy,NLTK,Gensim etc”
• statistical analysisThe ad says“Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc.”
• Tensor flowThe ad says“Experience on working with deep-learning library such as Tensor flow, Pytorch etc”
• vector space modellingThe ad says“Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc.”