- Must have at least 3+ YOE in working for high-traffic product companies to create ranking models, recommendation engines using NLP, AI/ML

- Must have strong hands-on experience in statistical tools (Python, R, SAS, or open-source libraries)

- Must have worked on creating Data modelling / algorithms using models like taxonomy, ontology, tags, thesaurus, and metadata models

- Must have experience with Big Data frameworks (Hadoop, Spark) for search/ML workloads

- Must have Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Keras, Spark ML).

- Must have experience with SQL/NoSQL databases (CosmosDB, Cassandra, MongoDB).

- The Primary focus of this role is to develop and manage applications involved with Search Systems.

- Maintain and upgrade search indices for large document repositories, as well as optimizing indexing/queries and supporting analytics.

- 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.

- 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

- Analyze website metrics and customer behaviour data to make intelligent decisions on optimizing our search model.

- 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

- Expand and refine data retrieval techniques to use our extensive product catalog and improve customer data quality .