Job Title: Senior Consultant - AI Developer

Domain: BFSI (Cards & Payments)

Location: Mumbai SPO

Experience Level: 5+ years

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Job Summary:

We are seeking an experienced AI Developer with a solid background in the BFSI (Payments) domain to design, build, and implement AI/ML-based solutions across our applications, with a focus on Payments, Fraud Detection, Compliance and Generative AI (GenAI) applications. The ideal candidate will have proficiency in developing AI-driven applications, fine-tuning LLMs, building Retrieval-Augmented Generation (RAG) chatbots, and integrating AI and GenAI within payment systems. Hands-on experience with Llama, Llamaindex, Langchain, Huggingface, and vector databases is essential.

This role involves working closely with client teams to deploy cutting-edge AI/ML technologies, driving innovation, efficiency, and security in the BFSI space.

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Key Responsibilities:

1. AI and ML Integration:

- Develop and integrate AI and ML models into BFSI applications, focusing on Payments and Fraud Detection.
- Implement algorithms for fraud prevention, risk scoring, and real-time transaction monitoring.
- Design predictive models for customer behavior, fraud patterns, and payment trends.

2. GenAI Application Development:

- Build Generative AI (GenAI) applications for personalized customer experiences and support within the BFSI ecosystem.
- Fine-tune LLMs such as Llama and Huggingface models for domain-specific tasks (e.g., automated customer service, financial advisory, risk analysis).
- Utilize Langchain to develop context-aware, intelligent chatbots and virtual assistants.

3. RAG-based Chatbot Development:

- Design and implement Retrieval-Augmented Generation (RAG) chatbots to enhance real-time, accurate information retrieval for customer and internal queries.
- Leverage Llamaindex and Langchain for efficient information retrieval and real-time contextual responses, particularly in payment processes and fraud management systems.

4. AI in Payments,



Fraud Management, Risk & compliance managment:

- Collaborate with partner / client teams to integrate AI and GenAI models for optimizing payment processing and reducing technical declines.
- Implement AI-based fraud detection algorithms to detect and block suspicious transactions while minimizing false positives.

5. LLM Fine-tuning and Customization:

- Fine-tune LLMs such as Llama, customizing models for BFSI-specific tasks, ensuring precision, performance, and scalability.
- Work with Llamaindex to index and retrieve relevant financial data, and integrate LLMs for real-time insights.

6. Vector Database and AI Integration:

- Utilize vector databases (e.g., Pinecone, Weaviate) for managing large-scale, high-dimensional data needed for embedding and storing vectors from AI models.
- Leverage vector search capabilities to improve real-time information retrieval and similarity searches within fraud detection and payment systems.

7. Cooperative Innovation:

- Collaborate to create propositions on AI / GenAI for clients.
- Ensure AI implementations adhere to regulatory standards.

8. Research and Development:

- Stay updated on the latest trends in AI, ML, and GenAI technologies and their BFSI applications.
- Pilot emerging AI techniques, such as explainable AI (XAI), to improve transparency in fraud detection models.

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Required Skills and Qualifications:

- 5+ years of experience in AI/ML development within the BFSI domain.
- Hands-on experience with LLMs such as Llama, Huggingface, and frameworks like Langchain and Llamaindex.
- Experience with vector databases like Pinecone, Weaviate, or similar.
- Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven expertise in developing AI/ML solutions for Payments and Fraud Detection systems.
- Programming skills in Python or Scala.
- Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML solution deployment.
- Solid understanding of NLP, LLMs, Generative AI, and RAG techniques.
- Knowledge of BFSI regulations.

📌 Urgent Hiring- AI Developer (Mumbai)
🏢 PwC India
📍 Mumbai