AI/ML Engineer

14 hours ago

Noida, Uttar Pradesh, India Nucleus Software Full time ₹ 12,00,000 - ₹ 18,00,000 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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