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Tier-1 brand, mid-level ML role, and metro Bangalore increase applicant competition.
Core ML engineering skills transfer across industries, though finance domain specifics moderately affect fit.
Explicit 3+ years plus mandatory ML, cloud, and container skills create strict screening filters.
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Design, develop, and maintain scalable AI software applications and systems within Asset and Wealth Management.
Implement and optimize AI/ML algorithms and models while collaborating with cross-functional teams and stakeholders.
Leverage enterprise-authorized AI-assisted development tools to enhance code quality, delivery speed, and software lifecycle processes.
3+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Strong programming skills in Python and Node.js.
Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with AWS and containerization technologies (Docker, Kubernetes).
Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to critically evaluate AI-generated outputs.
Experienced in applying AI/ML in software development within a financial or similar regulated environment.
Experienced in using AI-assisted development tools responsibly, including knowledge of secure and responsible AI practices.
Capable of collaborating across teams and continuously improving engineering workflows with modern automation and AI capabilities.