Nucleus Software
Senior Lead - AI/ML
Noida, Uttar Pradesh, India8+ yrsPosted 3 weeks ago
Skills
Machine LearningDeep LearningTensorFlowPyTorchNLPJavaPythonProblem SolvingFintech
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