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Tier-1 brand, mid-level generalist ML role in metro with broad required skills.
Core ML engineering skills transfer well, though financial enterprise expectations moderately favor industry experience.
Explicit 3+ years, mandatory ML frameworks, Python, cloud/container, and responsible AI requirements enforce strict shortlisting.
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Designs, develops, and maintains scalable AI software applications using Python and related technologies.
Collaborates with teams to implement and optimize AI/ML algorithms and models.
Leverages enterprise-authorized AI-assisted development tools to enhance code quality, delivery speed, and automation in the software development lifecycle.
Formal training or certification in software engineering with 3+ years of applied experience.
Strong programming skills in Python and Node.js.
Experience with AI/ML frameworks such as TensorFlow or PyTorch.
Familiarity with AWS and containerization technologies like Docker and Kubernetes.
Has practical experience integrating AI-assisted coding tools in a secure, enterprise environment, ensuring validation and refinement of AI-generated code.
Understands responsible AI use, including data sensitivity and secure handling within software workflows.
Experienced in applying software development best practices in collaborative, multidisciplinary teams focused on AI solutions.