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Strong brand, mid-level experience, and broad ML/CV skillset increase applicant competition.
Core ML, Python, and production modeling skills are highly transferable across industries despite manufacturing preference.
Explicit five-year requirement plus mandatory Python, SQL, ML, CV and production experience increases strictness.
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Analyze data to discover patterns and trends, performing descriptive and predictive analytics with visualization.
Develop tools and automate workflows for proactive data quality measurement and monitoring.
Monitor and support production AI models, coordinating issue resolution with support teams.
Bachelor's degree in engineering (mandatory).
Approximately 5 years of related work experience in data science and AI model deployment.
Proficiency in Python, SQL, Power BI, and exposure to Snowflake.
Must work onsite 5 days a week; visa sponsorship not available; relocation offered.
Experienced in AI model training and deployment, with knowledge of computer vision and related Python libraries.
Strong skills in statistical modeling, data analysis, visualization, and familiarity with big data and cloud database concepts.
Ability to communicate technical conclusions to non-technical stakeholders; experience with manufacturing environment preferred.