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Nucleus Software Exports

AI/ML Engineer

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Key Responsibilities:<\/b>
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  • 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.<\/span>
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  • Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch,other modern ML libraries.
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  • Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction.<\/span>
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  • Implement vision\-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring.<\/span>
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  • 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.<\/span>
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  • Ensure best practices in machine learning lifecycle management, including model training, tuning, and deployment in enterprise environments.<\/span>
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  • Guide in managing the scalability, performance, and robustness of AI solutions, ensuring they meet the needs of enterprise software systems in transaction banking and lending.<\/span>
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    Requirements<\/h3>
    Required Skills
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    • 6+ years of experience in developing and deploying AI/ML solutions, with at least 2 years of experience in enterprise software development.
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    • Expertise in Deep Learning frameworks like TensorFlow, PyTorch, and Keras.
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    • Strong proficiency in Java, Python, and related programming languages.
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    • In\-depth understanding of Natural Language Processing (NLP), with experience working on LLMs (e.g., GPT models, BERT).
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    • Experience with vision\-based algorithms and their application in real\-world financial problems.
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    • Knowledge of business processes in the lending domain and transaction banking.
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    • Proven track record of building scalable and robust AI solutions in enterprise environments.
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    • Strong problem\-solving skills, with the ability to adapt AI/ML approaches to rapidly evolving business needs.
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      Preferred Qualifications:
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      • B.E/B.Tech from Tier 1 Institute.
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      • Previous experience in the lending, transaction banking, or fintech industries.
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      • Familiarity with enterprise software architecture and integration patterns, especially in the context of financial services.
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      • Hands\-on experience with MLOps practices and tools for deploying and maintaining machine learning models in production.
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        Benefits<\/h3>

        Why Join Us?<\/span><\/span><\/span><\/span><\/b>
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        • Work\n at the cutting edge of AI/ML, focusing on <\/span>lending<\/span><\/b> and <\/span>transaction\n banking<\/span><\/b> use cases.<\/span><\/span><\/span>
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        • Join\n a fast\-paced, dynamic environment where you can drive innovation and\n deliver impactful AI solutions.<\/span><\/span><\/span>
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        • Competitive\n salary and benefits, along with ample opportunities for professional\n growth.<\/span><\/span><\/span>
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