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Non-metro small-company hiring reduces applicant density despite ML role popularity and broad skill requirements.
ML engineering skills are moderately transferable across industries but require domain-specific model and deployment experience.
No explicit years but requires ML frameworks, Python, cloud and leadership, so moderate filtering expected.
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Lead the development, design, and delivery of AI/ML projects and solutions.
Build, optimize, and deploy machine learning models for scalable applications.
Provide technical guidance and mentorship to team members while collaborating with business and technical stakeholders.
Strong experience in Python and Machine Learning techniques.
Familiarity with AI/ML frameworks, tools, and cloud platform usage.
Leadership or team management experience preferred but not mandatory.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading AI/ML projects with cross-functional collaboration.
Technically strong in model development and AI/ML best practices.
Able to mentor and guide technical teams while aligning AI solutions with business needs.