Top Skills:
GitNosql DatabasesAlgorithmsTesting FrameworksNlpJenkinsData StructuresTensorflowScalaSearch TechnologiesInsurancePythonAiKerasMongodbJavaProgrammingNosqlMachine LearningPytorchScikit-LearnLinuxAiAwsAzureBalancingCassandraCi/cdCloudCosmos DbCustomer ExperienceDistributed SystemDockerElasticsearchEnterpriseGcpGitIndexingInformation RetrievalJavaJenkinsKubernetesLinuxMachine LearningMongodbNlpNosql DatabaseOntologyOopPythonPytorchScalaScikit-learnSqlTaxonomyTensorflow
Job Purpose
To contribute to the design, development, and optimization of AI-driven search systems and machine learning models that deliver intelligent, scalable, and accurate search experiences across BFL businesses.
The role supports the enterprise-wide AI capability for search, ranking, and personalization while working closely with business and technical teams
To contribute to the design, development, and optimization of AI-driven search systems and machine learning models that deliver intelligent, scalable, and accurate search experiences across BFL businesses.
Duties and Responsibilities
Contribute to the development and optimization of enterprise-wide search systems and models.
Design and implement algorithms to improve indexing, query relevance, and search accuracy.
Support taxonomy, ontology, and metadata model creation for better search outcomes.
Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.
Conduct analysis of user behavior and system metrics to refine search performance.
Work with engineers, product managers, 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 software engineering including CI/CD, testing, and monitoring.
Keep abreast of emerging developments in AI/ML to apply them in practical solutions.
Key Decisions / Dimensions
Design and coding approaches for assigned modules.
Choice of algorithms, tools, and frameworks for implementation.
Recommendations on improving performance, accuracy, or customer experience.
Task prioritization within assigned projects.
Major Challenges
Designing scalable models that can support high-volume search traffic.
Balancing performance, accuracy, and latency in production search systems.
Keeping up with advancements in AI/ML while aligning with business priorities.
Ensuring reliable and seamless customer search experience.
Required Qualifications and Experience
Educational Qualifications:
Work Experience:
Mandatory Skills:
Preferred Skills (Nice to Have):
Associate Lead Data Scientist
Bajaj Finance
naukri
Pune
5-8 years Not Disclosed
Full time
05 May 2026
Top Skills:
GitNosql DatabasesAlgorithmsTesting FrameworksNlpJenkinsData StructuresTensorflowScalaSearch TechnologiesInsurancePythonAiKerasMongodbJavaProgrammingNosqlMachine LearningPytorchScikit-LearnLinuxAiAwsAzureBalancingCassandraCi/cdCloudCosmos DbCustomer ExperienceDistributed SystemDockerElasticsearchEnterpriseGcpGitIndexingInformation RetrievalJavaJenkinsKubernetesLinuxMachine LearningMongodbNlpNosql DatabaseOntologyOopPythonPytorchScalaScikit-learnSqlTaxonomyTensorflow
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Job Description
Download ResumeJob Purpose
To contribute to the design, development, and optimization of AI-driven search systems and machine learning models that deliver intelligent, scalable, and accurate search experiences across BFL businesses.
The role supports the enterprise-wide AI capability for search, ranking, and personalization while working closely with business and technical teams
To contribute to the design, development, and optimization of AI-driven search systems and machine learning models that deliver intelligent, scalable, and accurate search experiences across BFL businesses.
Duties and Responsibilities
Contribute to the development and optimization of enterprise-wide search systems and models.
Design and implement algorithms to improve indexing, query relevance, and search accuracy.
Support taxonomy, ontology, and metadata model creation for better search outcomes.
Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.
Conduct analysis of user behavior and system metrics to refine search performance.
Work with engineers, product managers, 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 software engineering including CI/CD, testing, and monitoring.
Keep abreast of emerging developments in AI/ML to apply them in practical solutions.
Key Decisions / Dimensions
Design and coding approaches for assigned modules.
Choice of algorithms, tools, and frameworks for implementation.
Recommendations on improving performance, accuracy, or customer experience.
Task prioritization within assigned projects.
Major Challenges
Designing scalable models that can support high-volume search traffic.
Balancing performance, accuracy, and latency in production search systems.
Keeping up with advancements in AI/ML while aligning with business priorities.
Ensuring reliable and seamless customer search experience.
Required Qualifications and Experience
Educational Qualifications:
Work Experience:
Mandatory Skills:
Preferred Skills (Nice to Have):