Weee Senior Machine Learning Engineer to develop and implement advanced machine learning models for pricing strategies and promotional effectiveness at Weee!. Responsible for end-to-end ML solutions from design to deployment.
Responsibilities
Develop and implement advanced machine learning models to enhance pricing strategies and promotional effectiveness, focusing on both demand forecasting and optimization.
Build end-to-end solutions utilizing our unique data sources, from data exploration, model design, training, testing, deployment, to monitoring and maintenance.
Collaborate with cross-functional teams to introduce machine learning innovations and address optimization challenges within pricing and promotional planning, aimed at improving revenue growth, profitability, and overall business efficiency.
Drive insights and strategies by leveraging strong analytical skills along with machine learning and statistical models to capitalize on new business opportunities.
Job Requirements: Job requires a bachelor’s degree in Information Science or related fields and 24 months of experience as a Quantitative Analyst, Artificial Intelligence Engineer or Machine Learning related position. Candidate must have 2 years of professional experience in:
Deep Learning Model Design and Architecture
Traditional Machine Learning for Production Use Cases
Qualification
Representation LearningGenerative AI / LLM Applications
Required
Time-Series Forecasting and Decision Modeling
Multimodal and Unstructured Data Modeling
Representation Learning, Embeddings, and Retrieval Systems
Generative AI / LLM Applications
Production ML Infrastructure and Cloud Deployment
The US base salary range for this full-time position is $137,093
This role may be eligible to discretionary bonus, incentives and benefits
Our salary ranges are determined by role, level, and location
