Lead -AI/ML

Nucleus Software; Dadri; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Competitive salary

Opportunities for professional growth

Dynamic work environment

Job summary

A leading financial technology company in India is looking for an experienced professional to lead the design and deployment of AI and ML solutions focusing on lending and transaction banking. With over six years of experience in the field, you will be responsible for implementing cutting-edge models and algorithms using frameworks such as TensorFlow and PyTorch. This role offers a competitive salary and opportunities for professional growth in a fast-paced environment.

Qualifications

• 6+ years of experience in developing and deploying AI/ML solutions.
• 2+ years of experience in enterprise software development.
• Experience with vision-based algorithms in financial applications.

Responsibilities

• Lead the design and deployment of AI/ML solutions in lending.
• Implement and optimize Deep Learning models.
• Collaborate with stakeholders for feature definition and integration.

Skills

Deep Learning

Natural Language Processing (NLP)

Java

Python

Problem-Solving

Education

B.E/B.Tech from Tier 1 institute

Tools

TensorFlow

PyTorch

Keras

Job description

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.
• 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 Tier 1 institute
• 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

Why Join Us?

• Work at the cutting edge of AI/ML, focusing on lending and transaction banking use cases.
• Join a fast‑paced, dynamic environment where you can drive innovation and deliver impactful AI solutions.
• Competitive salary and benefits, along with ample opportunities for professional growth.