Associate Lead - Lead Data Scientist - Python

Description :

Role & Responsibilities :

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.

Ideal Candidate :

Mandatory (Experience 1) - Must have 5+ years of hands-on experience in Machine Learning systems,

Search, Information Retrieval (IR), NLP

Mandatory (Experience 2) - Experience building and deploying scalable ML/AI systems for ranking, personalization, recommendation, or enterprise search use cases.

Mandatory (Experience 3) - Hands-on experience in NLP-based search applications, embeddings, semantic search, taxonomy/ontology models, metadata-driven retrieval, or recommendation systems.

Mandatory (Experience 4) - Strong experience in designing and optimizing search systems including indexing, query relevance, semantic retrieval, faceted search, ranking, and search accuracy improvements environments.

Mandatory (Experience 5) - Strong programming expertise in Python, Java, or Scala with good understanding of data structures, algorithms, OOP concepts, and Linux

Mandatory (Core Skills) Expertise in Information Retrieval, Search Technologies, NLP, Machine Learning, TensorFlow/PyTorch/scikit-learn/Keras, indexing, query optimization, semantic search, ranking systems, and search relevance tuning.

Mandatory (Database & Infrastructure) - Experience working with SQL/NoSQL databases such as MongoDB, Cosmos DB, Cassandra, or similar distributed data systems.

Mandatory (CI/CD & Engineering Practices) - Hands-on experience with CI/CD pipelines, Git, Jenkins, testing frameworks, monitoring, and production-grade software engineering practices.

Mandatory (Problem Solving) - Strong analytical thinking, debugging capabilities, performance optimization skills, and ability to independently resolve complex technical issues related to search quality, scalability, and latency.

Mandatory (Production Deployment) - Experience deploying scalable AI/ML or search systems in production environments with high availability and performance requirements.

Mandatory (Company) - Preferred candidates from AI-first startups, search/recommendation platforms, SaaS organizations, fintech, e-commerce, product-based companies, or large-scale data-driven enterprises.

Mandatory (Age Criteria) Preferred age bracket : Up to 30 years.

Preferred (Experience 1) Experience with Elasticsearch, Solr, Lucene, vector databases, semantic retrieval systems, or enterprise search platforms.

Preferred (Experience 2)Exposure to personalization/recommendation systems

Preferred (Experience 3) Experience with Docker, Kubernetes, AWS/Azure/GCP.

Preferred (Experience 4) Mentoring or technical leadership exposure is a plus

Perks, Benefits and Work Culture :

Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of Indias most diversified Non-banking financial companies, and among Asias top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations were present in India.