Job Responsibilities

Direct Responsibilities

• End‑to‑End Solution Ownership – Lead the full project lifecycle: engage business stakeholders, translate requirements, architect solutions, develop, deploy, and provide ongoing support for AI‑powered cyber‑ and fraud‑detection tools.
• Advanced Model Development – Design, train, fine‑tune, and evaluate machine‑learning and deep‑learning models (especially transformer‑based and Large Language Models) with PyTorch, TensorFlow or JAX.
• GenAI / Agentic Systems – Research, build, and operationalize GenAI solutions using LLMs, small language models (SLMs), and agentic frameworks such as LangGraph or LangChain.
• Prompt Engineering – Create sophisticated prompts, context chains, and input/output pipelines to maximize LLM performance for security/fraud use cases.
• Data Engineering – Develop secure ETL pipelines; handle large, sensitive structured and unstructured data sets for model training, inference and monitoring.
• User‑Interface Development (optional/plus) – Produce easy, business‑friendly UIs (e.g., Streamlit, Gradio,



Flask) that enable teams to interact with AI solutions seamlessly.

Contributing & Collaboration
• Partner with SMEs and business users to uncover opportunities for GenAI/agentic solutions.
• Keep abreast of the latest LLM/SLM and AI‑for‑cybersecurity research and inject relevant advances into the organization.
• Drive AI upskilling, share best practices, and mentor CDF teams.
• Document architectures, design decisions, and provide technical guidance/training to stakeholders.

Required Education, Skills and Experience
Category Requirements

Education
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent practical experience).

Professional Experience
• 4 + years hands‑on ML/DL in production environments (cyber‑security domain experience is a plus).
• Demonstrated ability to take a project from ideation through POC, MVP, and production deploymen

📌 AI Solutions Developer (Chennai)
🏢 BNP Paribas
📍 Chennai