Search Engineer

1 week ago

Pune, India Workeagle Full time

Job Description Mandatory Lead Search Engineer / AI-ML Leader Profile :- Mandatory (Experience 1) - Must have minimum 11+ years of hands-on experience in Search / Information Retrieval / NLP / Machine Mandatory (Experience 2) - Must have minimum 9+ YOE in backend development using languages (Python or Java)- Mandatory (Experience 3) - Must have Experience designing taxonomy, ontology, tags, thesaurus, and metadata models- Mandatory (Experience 4) - Must have Experience with Big Data frameworks (Hadoop, Spark) for search/ML workloads- Mandatory (Experience 5) - Must have Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Keras, Spark ML).- Mandatory (Experience 6) - Must have experience in designing, building, and scaling RESTful APIs and Web Services.- Mandatory (Experience 7) - Must have hands-on experience in statistical tools (Python, R, SAS, or open-source libraries).- Mandatory (Experience 8) - Must have Experience with SQL/NoSQL databases (CosmosDB, Cassandra, MongoDB). Role & Responsibilities :- 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. (ref:hirist.tech)

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