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Senior Lead - AI/ML

Nucleus Software -
Noida, Uttar Pradesh

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Job details

Permanent

Qualifications

TensorFlow
PyTorch
Enterprise Software
Java
Bachelor's degree
Machine learning
Deep learning
Natural language processing
Software development
B.E.
Fraud prevention and detection
Keras
AI
Banking
Python
Software architecture

Full job description

About Us

Nucleus Software has been providing Products and Services to various Global and Regional Financial institutions for the past 39 years. As a pioneer software vendor, Nucleus carries deep banking domain expertise and experience on latest technological trends. The platforms developed by Nucleus power the operations of more than 200 financial institutions in 50 countries, supporting multiple business verticals, accessible through mobile and internet channels. These platforms support retail banking, corporate banking, cash management, internet banking, automotive finance and other business areas.

Key highlights about Nucleus include:

Entrusted by Global and Regional banks as a preferred partner for their Traditional to Transformative journey
Driving large Digitalization programs for various banks using Data Science, Cloud, AI/ML, DevOps, RPA based solutions.
An organization with an “Employee First” outlook

Job Description

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.

Lead a team of engineers and data scientists in developing enterprise-level AI/ML solutions at a fast 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

Required Skills

8+ 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.
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.
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 to rapidly evolving business needs.

Preferred Qualifications:

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 in the context of financial services.
Hands-on experience with MLOps practices and tools for deploying and maintaining machine learning models in production.

Benefits

Job Information

Job Opening ID NUCLEUS_1576
Business Unit Name BUILD - NEO ARCHITECTURE
Job Type Permanent
Grade 7
Date Opened 18/11/2025
Number of Positions 1
Industry IT Services
City Noida
Province Uttar Pradesh
Country India
Postal Code 201301

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