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Associate Lead Data Scientist

Associate Lead Data Scientist

Bajaj Finance

5 - 8 years

8 - 12 Lacs

pune

Posted:6 hours ago| Platform:

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Skills Required

java azure data preprocessing scala cassandra feature engineering ai scikit-learn machine learning sql git pytorch nlp databases elasticsearch linux gcp nosql databases ci/cd mongodb prototyping aws python tensorflow

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 teamsDuties 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:

BTech/MTech/BE/MSc in Computer Science, Mathematics, Statistics, or related fields.
Work Experience:

58 years in Search, Information Retrieval, NLP, and Machine Learning.

Hands-on experience in deploying ML/AI-based systems at scale.

Experience mentoring junior engineers (preferred).
Mandatory Skills:

Strong knowledge of search technologies (indexing, faceted search, NLP-based search).

Programming skills in Python, Java, or Scala.

Familiarity with ML/DL frameworksTensorFlow, PyTorch, scikit-learn, Keras.

Experience with SQL/NoSQL databases (Cosmos DB, MongoDB, Cassandra).

Exposure to CI/CD pipelines, Git, Jenkins, testing frameworks.

Good understanding of data structures, algorithms, OOP concepts, and Linux.
Preferred Skills (Nice to Have):

Experience with Elasticsearch/Solr, Lucene-based engines.

Knowledge of distributed systems and container platforms (Docker/Kubernetes).

Understanding of cloud-based ML deployments (Azure/AWS/GCP).

Exposure to personalization/recommendation systems.

Research exposure or certifications in AI/ML.

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Associate Lead Data Scientist