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Tier-1 brand, mid-level role, and broad AI/SWE skill requirements increase applicant competition.
Core ML/AI skills transfer across industries, though banking domain and regulations add moderate sensitivity.
Explicit 2+ years, mandatory Python/Java and AI frameworks plus certification make filters stringent.
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Designs, develops, and troubleshoots software components within the firm's technology products, focusing on secure, stable, and scalable solutions.
Writes high-quality code primarily in Python and Java, utilizing AI coding assist tools to improve code quality and delivery speed.
Applies software development life cycle tools and agile methodologies to automate processes and maintain application stability and security.
2+ years of applied experience with formal training or certification in software engineering concepts.
Hands-on experience in Python, Java, AI frameworks/tools, and software development lifecycle.
Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming and database querying languages.
Not explicitly mentioned in the JD regarding notice period, mandatory degree, or location constraints.
Comfortable working in agile teams applying CI/CD, application resiliency, and security practices.
Experienced in using enterprise-authorized AI-assisted software development tools with ability to validate AI-generated outputs.
Knowledgeable of responsible AI use including data sensitivity and secure handling within engineering workflows.