Key Responsibilities

Lead the design, development, and deployment of AIML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection.

Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries.

Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction.

Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring.

Lead a team of engineers and data scientists in developing enterprise-level AIML solutions at a rapid pace, ensuring that solutions align with both business and technical requirements.

Collaborate with business stakeholders to understand the business processes, define AI-driven features, and ensure smooth integration of machine learning models into the existing technology stack.





Ensure best practices in machine learning lifecycle management, including model training, tuning, and deployment in enterprise environments.

Guide the team in managing the scalability, performance, and robustness of AI solutions, ensuring they meet the needs of enterprise software systems in transaction banking and lending.

Requirements
- 10+ years of experience in developing and deploying AIML solutions, with at least 2 years of experience in enterprise software development.
- Expertise in Deep Learning frameworks like TensorFlow, PyTorch, and Keras.
- Strong proficiency in Java, Python, and related programming languages.
- In-depth understanding of Natural Language Processing (NLP), with experience working on LLMs (e.g., GPT models, BERT).
- Experience with vision-based algorithms and their application in real-world financial problems.
- Knowledge of business processes in the lending domain and transaction banking.
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📌 Senior Lead (Noida)
🏢 Nucleus Software Exports
📍 Noida