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Search Engineer - Artificial Intelligence/Machine Learning

Workeagle
Pune
12 - 18 Years

Posted on: 17/09/2025

Job Description

Job Description :


Criteria Mandatory :


Strong 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 Learning


- 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.


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