<p><p>Job Description :</p><p><br/></p><p>- Must have total 6+ YOE in hands-on Data Science, Analytics, Algorithms, NLP, Machine Learning</p><p><br/></p><p>- Must have at least 3+ YOE in working for high-traffic product companies to create ranking models, recommendation engines using NLP, AI/ML<br/><br/>- Must have strong hands-on experience in statistical tools (Python, R, SAS, or open-source libraries)<br/><br/>- Must have worked on creating Data modelling / algorithms using models like taxonomy, ontology, tags, thesaurus, and metadata models<br/><br/>- Must have experience with Big Data frameworks (Hadoop, Spark) for search/ML workloads<br/><br/>- Must have Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Keras, Spark ML).<br/><br/>- Must have experience with SQL/NoSQL databases (CosmosDB, Cassandra, MongoDB).
</p><p><br/></p><p>- The Primary focus of this role is to develop and manage applications involved with Search Systems.
</p><p><br/></p><p>- Maintain and upgrade search indices for large document repositories, as well as optimizing indexing/queries and supporting analytics.
</p><p><br/></p><p>- He will be leading a Team of search engineers who build Tags, taxonomy, Thesaurus and ontology data models and standard to define and organize our customers search experience.</p><p><br/>- Drive and coordinate cross-functional projects with broad range of Loan, Insurance and investment products owners, engineers, designers and other groups that may include architecting new data solutions<br/><br/>- Analyze website metrics and customer behaviour data to make intelligent decisions on optimizing our search model.
</p><p><br/></p><p>- Collaborate and consult directly with key stakeholders, technical teams and leadership on solutions for taxonomy and metadata that will positively impact the customers search experience<br/><br/>- Expand and refine data retrieval techniques to use our extensive product catalog and improve customer data quality .</p><br/></p> (ref:hirist.tech)