At a Glance
- Tasks: Lead the development of advanced pricing models using machine learning and computer vision.
- Company: Join SELLIT9, a forward-thinking company revolutionizing device appraisal.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact in device valuation with cutting-edge technology.
- Qualifications: 5+ years in machine learning, proficient in Python and ML tools.
The predicted salary is between 135000 - 165000 $ per year.
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 Postgre SQL 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
Lead Machine Learning Engineer for Pricing Models in Toronto employer: SELLIT9
At SELLIT9, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the field of machine learning. Our dynamic work culture encourages continuous learning and professional growth, providing employees with opportunities to lead impactful projects in a supportive environment. Located in a vibrant tech hub, we offer competitive benefits and a chance to be at the forefront of transforming device pricing through cutting-edge technology.
