Join SELLIT9 as a Machine Learning Engineer specializing in vision and pricing models. Your expertise will shape device valuation through advanced analytics and machine learning techniques.
You'll oversee the development of price predictors and condition assessment systems utilizing computer vision. By applying tools such as Python, PostgreSQL, and deep learning frameworks, you'll translate data into a competitive pricing strategy. This role involves hands-on work with LLM APIs and close collaboration with engineering teams to ensure production models meet business needs effectively.
Key Responsibilities:
• Create models to predict pricing from competitor data
• Implement condition grading using photos and videos
• Identify product categories and specifications through recognition technology
• Manage data quality and labeling strategies
• Conduct evaluations and retraining for model improvement
Requirements:
• Minimum 5 years in machine learning or data science
• Solid Python proficiency with ML libraries
• Practical experience in computer vision applications
• Ability in statistical analysis and model validation
• Knowledge of LLM APIs for multi-modal processing
Harness machine learning to enhance operational efficiency at SELLIT9.
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