Senior Search Engineer

As a Strong Lead Search Engineer / AI-ML Leader, you will be responsible for the following key areas of expertise: - Must have minimum 6+ years of hands-on experience in Search / Information Retrieval / NLP / Machine Learning. - Must have minimum 5+ years of experience in backend development using languages such as Python or Java. - Experience designing taxonomy, ontology, tags, thesaurus, and metadata models is crucial. - Proficiency with Big Data frameworks (Hadoop, Spark) for search/ML workloads is essential. - Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, scikit-learn, Keras, Spark ML is a must. - Designing, building, and scaling RESTful APIs and Web Services is a required skill. - Practical experience in statistical tools such as Python, R, SAS, or open-source libraries is necessary. - Familiarity with SQL/NoSQL databases like CosmosDB, Cassandra, MongoDB is mandatory. Additionally, it is preferred that you have familiarity with modern frontend frameworks like React, Angular, HTML5, CSS3. Hands-on experience with dev tools such as Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory, and web servers like Tomcat, Jetty, JBoss is a plus. A degree in BE/B.Tech/M.Tech is preferred. Please note that the offered CTC breakup will be 80% fixed and 20% variable as per company policy. Join us if you have the required expertise and experience to lead in the field of Search Engineering and AI-ML technologies. As a Strong Lead Search Engineer / AI-ML Leader, you will be responsible for the following key areas of expertise: - Must have minimum 6+ years of hands-on experience in Search / Information Retrieval / NLP / Machine Learning. - Must have minimum 5+ years of experience in backend development using languages such as Python or Java. - Experience designing taxonomy, ontology, tags, thesaurus, and metadata models is crucial. - Proficiency with Big Data frameworks (Hadoop, Spark) for search/ML workloads is essential. - Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, scikit-learn, Keras, Spark ML is a must. - Designing, building, and scaling RESTful APIs and Web Services is a required skill. - Practical experience in statistical tools such as Python, R, SAS, or open-source libraries is necessary. - Familiarity with SQL/NoSQL databases like CosmosDB, Cassandra, MongoDB is mandatory. Additionally, it is preferred that you have familiarity with modern frontend frameworks like React, Angular, HTML5, CSS3. Hands-on experience with dev tools such as Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory, and web servers like Tomcat, Jetty, JBoss is a plus. A degree in BE/B.Tech/M.Tech is preferred. Please note that the offered CTC breakup will be 80% fixed and 20% variable as per company policy. Join us if you have the required expertise and experience to lead in the field of Search Engineering and AI-ML technologies.