Deputy National Lead Data Science
Deputy National Lead Data Science
Posted on :
21-09-2025
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1 Vacancy
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Job Description
To lead the Search AI capability by developing state-of-the-art search systems and machine learning models enabling scalable accurate and intelligent search experiences across BFL businesses. The role contributes directly to enhancing customer experience driving efficiency and building AI-based horizontal capabilities for search ranking and personalization.
Lead a team of search engineers to design build and optimize horizontal search systems.
Develop and prototype algorithms to improve indexing query relevance and search performance.
Build and manage taxonomy thesaurus ontology and metadata models to improve search accuracy.
Partner with business stakeholders across Loans Insurance and Investments to deliver AI-enabled search solutions.
Analyze customer behavior and website metrics to refine models and improve search outcomes.
Drive cross-functional initiatives working with engineers designers and product teams to deliver end-to-end solutions.
Build production-grade ML systems for ranking personalization and recommendation engines.
Collaborate with vendors/partners on capability development and proof-of-concepts.
Implement best practices for software engineering including CI/CD testing release and operations.
Stay updated on academic and industry developments in AI/ML and design competitive services for next-gen products.
Strategic decisions on design architecture and optimization of search systems.
Prioritization of AI/ML projects and resource allocation across initiatives.
Technology stack frameworks and model selection for AI-driven search.
Approaches to improve customer search experience using taxonomy NLP and ML models.
Team management decisions on mentoring allocation and performance improvement.
Balancing multiple stakeholders needs while ensuring scalability and robustness of AI solutions.
Managing competing priorities tight deadlines and production-grade deployments.
Staying ahead of emerging technologies in search ML NLP and LLMs while ensuring practical adoption.
Building state-of-the-art ML/AI models that can serve high-volume production traffic reliably.
Ensuring high system uptime and seamless customer search experience across platforms.
Educational Qualifications:
PhD/MTech/BE/BTech/MSc in Computer Science Mathematics Operations Research Statistics or related quantitative fields.
Work Experience:
10 years in Search Information Retrieval NLP Machine Learning and Predictive Analytics solutions.
Proven record of delivering ML/AI-based products at production scale.
Experience leading teams and mentoring in AI/ML fields.
Mandatory Skills:
Expertise in Search platforms: Data connectors indexing faceted search query expansion NLP-driven search image/voice/visual search.
Strong coding skills in Python Java Scala.
Experience with Hadoop Spark Large Scale ML algorithms.
Hands-on with ML/DL frameworks: TensorFlow PyTorch Keras scikit-learn Caffe Theano.
RESTful API web services integration with SQL/NoSQL databases (Cosmos DB Cassandra MongoDB).
Knowledge of DevOps pipelines (Azure DevOps) CI/CD tools (Eclipse Git Jenkins JFrog).
Strong understanding of OOP Linux environments Agile practices.
Preferred Skills (Nice to Have):
Experience with Elasticsearch/Solr Lucene-based engines.
Experience with container orchestration (Kubernetes) and distributed systems.
Knowledge of modern front-end technologies (React/Angular HTML5 CSS3).
Publications/patents in AI/ML/NLP.
Hands-on coding and ability to develop prototypes rapidly.
Employment Type
Full-Time
Department / Functional Area
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