Key Responsibilities:
- Lead the design, development, and deployment of AI/ML 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.
- 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 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
Required Skills
- 6+ years
of experience in developing and deploying AI/ML
solutions, with at least 2 years of experience in enterprise software
development.
- Expertise
in Deep Learning frameworks like TensorFlow, PyTorch,
and Keras.
- Solid
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.
- Proven
track record of building scalable and robust AI solutions in enterprise
environments.
- Strong
problem-solving skills, with the ability to adapt AI/ML approaches

📌 Lead -AI/ML (Noida)
🏢 Nucleus Software Exports
📍 Noida