Roles & 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.

Candidate Profile :

1. Profile :

- Strong AI Engineer / Machine Learning Engineer profiles.

2. Mandatory Experience 1 :

- Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

3. Mandatory Experience 2 :

- Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

4. Mandatory Experience 3 :

- Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

5. Mandatory Experience 4 :

- Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

6. Mandatory Experience 5 :

- Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

7. Mandatory Experience 6 :

- Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

8. Mandatory Experience 7 :

- Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

9. Mandatory CTC :

- The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

10. Mandatory Age :

- Candidate's Age should be below 30 Years.

11. Preferred Experience 1 :

- Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

12. Preferred Experience 2 :

- Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems.

13. Preferred Experience 3 :

- Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

14. Preferred Company :

- Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

15. Mandatory Pedigree :

- B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are considered.

Interview Process :

- 3 Technical Rounds

- Underwriting Call

- Criminal Check

- HR Discussion

Perks and benefits :

- 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.