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Large employer and metro location increase competition, but specialized CV and hardware-integration skills limit applicant pool.
Industrial computer vision and factory hardware-integration needs reduce cross-industry transferability.
Mandatory ML/CV, Python, deployment, and minimum experience requirements create strict shortlisting filters.
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Conduct feasibility studies and develop new AI technical concepts and solutions relevant to production.
Lead integration of AI projects within production environments to advance Industry 4.0 initiatives.
Organize prototyping, testing, and provide technical support for operational excellence and process improvement in factories.
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related disciplines.
Minimum 2 years of proven hands-on experience in Artificial Intelligence.
Expert-level Python skills with experience in Regression, Classification, and Computer Vision tasks.
Hands-on experience with production deployment of computer vision models and proficiency in Python packages like Scikit-learn, Numpy, Pandas.
Experience working collaboratively across global research teams and factories to deliver AI solutions.
Background in integration of AI systems with existing hardware and building setups from scratch, with knowledge of AI Vision Systems as a plus.
Familiarity with cloud technologies (Azure, AWS, or GCP) and Agile software delivery environments, coupled with potential project management or technical leadership capabilities.