Job opportunity
Lead Machine Learning Engineer for Pricing Models
SELLIT9
Become a Lead Machine Learning Engineer at SELLIT9, focusing on advanced pricing models and computer vision technologies. Your work will enhance how we appraise used devices effectively.
In this key role, you will direct the creation of predictive models based on extensive market research and condition evaluations via computer vision. Using PostgreSQL and major ML frameworks, you will streamline our pricing processes and improve decision-making. You'll collaborate with the engineering team to deploy your models, ensuring they integrate seamlessly into our pricing infrastructure.
Key Responsibilities:
• Develop pricing prediction algorithms from market analysis
• Oversee the end-to-end grading of device conditions
• Create models for recognizing item categories and specs
• Define and maintain data quality and labeling operations
• Implement frameworks for evaluating model performance
Requirements:
• 5+ years of experience in machine learning
• Proficient in Python and ML tools
• Hands-on knowledge in computer vision techniques
• Strong background in statistical rigor and evaluation
• Experience working with LLM APIs for validation and input
Drive innovation in device valuation at SELLIT9 by utilizing your machine learning skills.
#J-18808-Ljbffr
Apply on source site In this key role, you will direct the creation of predictive models based on extensive market research and condition evaluations via computer vision. Using PostgreSQL and major ML frameworks, you will streamline our pricing processes and improve decision-making. You'll collaborate with the engineering team to deploy your models, ensuring they integrate seamlessly into our pricing infrastructure.
Key Responsibilities:
• Develop pricing prediction algorithms from market analysis
• Oversee the end-to-end grading of device conditions
• Create models for recognizing item categories and specs
• Define and maintain data quality and labeling operations
• Implement frameworks for evaluating model performance
Requirements:
• 5+ years of experience in machine learning
• Proficient in Python and ML tools
• Hands-on knowledge in computer vision techniques
• Strong background in statistical rigor and evaluation
• Experience working with LLM APIs for validation and input
Drive innovation in device valuation at SELLIT9 by utilizing your machine learning skills.
#J-18808-Ljbffr