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Strong Tier-1 brand and popular AI title increase competition, but seniority and domain specialization moderate it.
Core ML engineering skills are transferable across industries, though banking domain experience is advantageous.
AVP-level leadership and technical depth expected, creating moderate resume filtering without explicit years.
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Design, develop, and improve scalable, maintainable, and high-performance software solutions using industry-standard programming languages and tools.
Collaborate cross-functionally with product managers, designers, and engineers to define requirements, strategy, and ensure software aligns with business objectives.
Lead or guide teams on complex software projects, promote code quality, secure coding, risk mitigation, and contribute to technology communities.
Work Experience Required: Not explicitly mentioned in the JD.
Proficiency in software development using industry aligned programming languages, frameworks, and tools.
Strong knowledge and practice of secure coding and unit testing methodologies.
Experience in collaborating cross-functionally and leading complex technical tasks or projects.
Experienced in leading or guiding teams on complex software development assignments with well-developed professional knowledge.
Capable of strategic thinking to influence decision making, policy development, and risk management within operational contexts.
Skilled at communicating complex information effectively to diverse stakeholders and driving business-aligned technology solutions.