Senior Lead - AI/ML

• ·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