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Search Engineer - Artificial Intelligence / Machine Learning

Search Engineer - Artificial Intelligence / Machine Learning

WorkeaglePune
13 days ago
Job description

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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