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Tier-1 brand, metro location, and mid-level role balanced by AI specialization.
Core ML/AI skills are transferable, though financial data sensitivity and responsible AI needs add moderate domain bias.
Explicit 3+ years, mandatory ML frameworks, Python and cloud/container skills increase screening rigidity.
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Design, develop, and maintain scalable AI software applications and systems leveraging Python and AI/ML frameworks.
Collaborate with cross-functional teams to understand requirements and deliver software solutions incorporating AI-assisted development tools.
Apply and optimize AI algorithms and models; contribute to improvement of development processes and software lifecycle methodologies.
3+ years of applied software engineering experience with formal training or certification.
Strong programming skills in Python and Node.js, with experience in AI/ML frameworks such as TensorFlow or PyTorch.
Familiarity with AWS and containerization technologies like Docker and Kubernetes.
Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to validate AI-generated outputs.
Experienced in AI software development within complex, collaborative environments such as financial services or large enterprises.
Comfortable working with AI/ML frameworks and cloud/container technologies to deliver production-grade solutions.
Able to apply responsible AI practices and guide peers on security, data sensitivity, and AI-assisted development workflows.