Associate Lead/AI/ML Engineer
First seen by Alion on Sep 9, 2026.
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.
Skills
Artificial Intelligence, Machine Learning, NLP, Data Science, Python, SQL, Data Analytics, Deep Learning, LLM