Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Cannabis Retail, Software, StartupIndustries
Requirements
The Machine Learning Engineer should possess at least 2 years of experience as an ML Engineer or Data Scientist, demonstrating strong proficiency in Python and SQL. Practical experience in model training, validation, and deployment is essential, along with familiarity with AWS, particularly SageMaker, and Docker. A solid understanding of the model lifecycle and MLOps principles is beneficial, and comfort with real-world messy data and rapid iteration is highly valued.
Responsibilities
As a Machine Learning Engineer, you will develop and deploy ML models to power features such as product recommendations, personalization, and demand forecasting. You will collaborate across the entire ML lifecycle, from data exploration and feature engineering to model training, validation, and deployment. Furthermore, you will design and maintain robust ML pipelines, ensuring model scalability and testability, continuously monitor and improve model performance in production, and contribute to technical decisions while sharing knowledge with peers and evolving best practices within the ML stack.
Skills
Machine Learning
Cannabis Retail
POS
eCommerce
Analytics
Inventory Management
Scalability
Performance
Data Analysis
Sweed
Retail cannabis point-of-sale and management solution
About Sweed
Sweed offers a complete solution for retail cannabis businesses by combining point-of-sale systems with e-commerce, delivery, analytics, marketing, and inventory management features. This integrated approach simplifies operations for cannabis retailers, allowing them to manage all aspects of their business from a single platform. Unlike competitors that may require multiple separate systems, Sweed provides an all-in-one service that enhances efficiency and customer interaction. The company operates on a subscription model, ensuring a steady revenue stream while helping retailers improve their sales processes and make informed decisions based on data insights.
Key Metrics
Burbank, CaliforniaHeadquarters
2017Year Founded
$500KTotal Funding
ACQUISITIONCompany Stage
Data & Analytics, Enterprise Software, Consumer GoodsIndustries
11-50Employees