AI/ML Engineer

1 week ago

Noida Uttar Pradesh India Nucleus Software Exports Full time ₹ 12,00,000 - ₹ 30,00,000 per year

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. • 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 • 10+ 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: • 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. • Lead and mentor a talented team of engineers and data scientists. • 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.

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