Senior Lead - AI/ML
On-siteNoida, Uttar Pradesh, India
Job Summary
Design, develop, and deploy AI/ML solutions for lending and transaction banking, focusing on credit scoring, risk assessment, fraud detection, and automated document processing. Architect Deep Learning models using TensorFlow and PyTorch, while driving NLP and Large Language Model development for customer profiling and interaction. Implement vision-based algorithms for KYC and transaction monitoring, ensuring scalability and robustness within enterprise software systems. Lead a team of engineers and data scientists to align technical requirements with business processes, managing the full machine learning lifecycle from training to production deployment.
Required Qualifications
- 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
Desired 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
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