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.