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Medium — desirable ML/AI role but smaller employer and senior/lead requirement limits applicant density.
Medium — core ML and MLOps skills transfer, though production and domain experience moderately restrict portability.
High — requires production-grade ML experience plus mandatory MLOps, cloud, and ML framework skills.
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Lead end-to-end design, development, and deployment of production-grade AI/ML models.
Provide technical leadership and mentorship to junior engineers in ML solution delivery.
Translate business requirements into scalable, production-ready AI/ML applications.
Prior experience delivering production-grade ML solutions in a lead or senior role.
Strong hands-on experience with Python and ML frameworks.
Experience with cloud platforms, preferably Azure, and AI/ML services.
Familiarity with MLOps tools such as MLflow, Docker, and CI/CD pipelines for ML.
Experienced in leading AI/ML projects from design to deployment in production environments.
Skilled in data preprocessing, model tuning, evaluation, and optimization within diverse ML domains.
Able to drive cross-functional collaboration and provide clear technical mentorship to teams.