Key tasks include collaborating with cross-functional teams to create impactful data solutions, analyzing large datasets to enhance business metrics, designing and implementing machine learning models, developing scalable computer vision solutions, and…
Responsibilities related to data science and machine learning in a manufacturing context.
Additionally, it involves interpreting data insights, communicating findings to stakeholders, and delivering presentations with visualized data and business conclusions.
Collaborate with cross-functional teams to develop high-impact data science solutions that improve productivity and operations metrics.
Analyze large-scale data and develop machine learning/AI models to drive business value and improve KPIs.
Bachelor's degree in Computer Science, Data Science, AI, or equivalent experience.
Computer Vision expertise – hands-on experience with CV libraries and models (OpenCV, YOLO, etc.).
Machine Learning – solid understanding of ML algorithms and model development.
Python proficiency – demonstrated ability to write production-quality Python code.
Experience: Entry-level · 1+ years · Job type: Full-time
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