Principal Machine Learning Architect
SiftSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Cannabis Retail, Software, StartupIndustries
Requirements
Candidates should possess at least 4 years of experience in Machine Learning, including experience with production-level model deployment, and strong proficiency in Python and SQL. Experience with AWS, particularly SageMaker and Docker, is preferred. A proven track record of owning and delivering ML projects end-to-end is essential, along with experience in modern ML workflows such as MLOps and CI/CD for ML.
Responsibilities
As the Machine Learning Lead, you will own the ML roadmap, working closely with product, engineering, and leadership to align ML initiatives with company goals. You will lead the end-to-end development of ML features, from ideation and prototyping to deployment and monitoring, design and improve core ML systems including recommendation engines, time series forecasting, and personalization algorithms. You will build and lead the ML team, mentoring and guiding team members, establishing standards for model development, and collaborating cross-functionally with backend, data, and product teams to deliver scalable and maintainable solutions.
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