Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like creditscoring, 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 thedevelopment and optimization of NLP models and Large Language Models (LLMs) forapplications like automated document processing, customer profiling, and customer interaction.
Implement vision-basedalgorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring.
Lead a teamof engineers and data scientists in developing enterprise-level AI/ML solutionsat a fast pace, ensuring that solutions align with both business and technical requirements.
Collaboratewith business stakeholders to understand the business processes, defineAI-driven features, and ensure smooth integration of machine learning modelsinto the existing technology stack.
Ensure bestpractices in machine learning lifecycle management, including model training,tuning, and deployment in enterprise environments.
Guide theteam in managing the scalability, performance, and robustness of AI solutions,ensuring they meet the needs of enterprise software systems in transactionbanking and lending.
Required Skills
8+ years of experience in developing and deploying AI/ML solutions, with at least 2 yearsof 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).
Experiencewith vision-based algorithms and their application in real-world financialproblems.
Knowledge ofbusiness processes in the lending domain and transaction banking.
Proven trackrecord of building scalable and robust AI solutions in enterprise environments.
Strongproblem-solving skills, with the ability to adapt AI/ML approaches to rapidlyevolving business needs.
PreferredQualifications:
B.E/B.Tech from IITs
Previous experience in the lending, transaction banking, or fintech industries.
Familiarity with enterprise software architecture and integration patterns, especially inthe context of financial services.
Hands-on experience with MLOps practices and tools for deploying and maintaining machine learning models in production.

Keyskills: python natural language processing financial services artificial intelligence java algorithms rpa tafj aiml machine learning enterprise application development javascript jquery temenos t24 tensorflow temenos t24 pytorch jbase keras html ml
Nucleus Software Exports Limited provides software solutions to the Banking and Financial Services Industry. For over 30 years, we have developed solutions spanning from Retail Banking to Corporate Banking, Cash Management, Internet Banking and Credit Cards. FinnOneTM, the Flagship product of Nucleu...