Project Lead (Search and Match)

Asks for

• agentic workflowsThe ad says“Implement and experiment with agentic workflows to improve the job seeker experience.”
• 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.”
• chain-of-thoughtThe ad says“Experience with prompt engineering, chain-of-thought, retrieval augmented generation, vector databases and preferably LLM agents.”
• classifiersThe ad says“Experience in feature selection, building and optimizing 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 optimizing classifiers.”
• 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.”
• LlamaindexThe ad says“Langchain and/or Llamaindex.”
• LLM agentsThe ad says“Experience with prompt engineering, chain-of-thought, retrieval augmented generation, vector databases and preferably LLM agents.”
• 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.”
• 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“Evolve prompt engineering applications and benchmark different Large Language models to solve business problems.”
• PythonThe ad says“Expert knowledge in Python.”
• 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 .”
• retrieval augmented generationThe ad says“Experience with prompt engineering, chain-of-thought, retrieval augmented generation, vector databases and preferably LLM agents.”
• 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.”
• 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.”
• statistical and machine learning algorithmsThe 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.”
• vector databasesThe ad says“Experience with prompt engineering, chain-of-thought, retrieval augmented generation, vector databases and preferably LLM agents.”
• 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.”