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About the role
About the Role: We're looking for a Search/ML engineer to build and optimize enterprise-wide search systems improving indexing, relevance, and ranking, and partnering with business units (Loans, Insurance, Investments) to deliver AI-enabled search and personalization features. Key Responsibilities: - Develop and optimize enterprise-wide search systems and models. - Design algorithms to improve indexing, query relevance, and search accuracy. - Support taxonomy, ontology, and metadata model creation for better search outcomes. - Collaborate with business units to build AI-enabled search features. - Analyze user behavior and system metrics to refine search performance. - Work with engineers, PMs, and designers to deliver integrated search solutions. - Develop production-grade ML systems for ranking, personalization, and recommendations. - Participate in proof-of-concept initiatives with internal and external partners. - Follow best practices in CI/CD, testing, and monitoring. - Stay current on emerging AI/ML developments and apply them practically. Requirements: - BTech/MTech/BE/MSc in Computer Science, Mathematics, Statistics, or related field. - 58 years in Search, Information Retrieval, NLP, and Machine Learning. - Hands-on experience deploying ML/AI systems at scale. - Mentoring experience preferred. - Strong knowledge of search technologies (indexing, faceted search, NLP-based search). - Programming skills in Python, Java, or Scala. - Familiarity with TensorFlow, PyTorch, scikit-learn, Keras. - Experience with SQL/NoSQL databases (Cosmos DB, MongoDB, Cassandra). - Exposure to CI/CD pipelines, Git, Jenkins, and testing frameworks. - Good understanding of data structures, algorithms, OOP concepts, and Linux. Good to Have: - Experience with Elasticsearch/Solr or Lucene-based engines. - Knowledge of distributed systems and containers (Docker/Kubernetes). - Understanding of cloud-based ML deployments (Azure/AWS/GCP). - Exposure to personalization/recommendation systems. - Research exposure or AI/ML certifications. .
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