Machine Learning Engineer

Position Overview

• Location Type: Remote
• Employment Type: Full-Time
• Salary: Not specified (B2B contract with the US)
• Company: SweedPos
• Description: SweedPos is a product-driven startup building an all-in-one cannabis retail platform. We are seeking a Machine Learning Engineer to join our remote team and help scale and optimize the platform. We are reimagining how cannabis retailers operate, combining POS, eCommerce, Marketing, Analytics, and Inventory Management into a single solution.

Team Structure

• Development Team: Distributed globally, organized into cross-functional product teams of 8-12 members (front-end, back-end, QA, analysts).
• Leadership: Team Leads & Product Owners lead each product team.
• US-Based Operations: CEO, Account Managers, and Customer Success Team are based in the USA, working closely with the development team.
• Total Team Size: Approximately 180 people.

Responsibilities

• Develop and deploy ML models to power features like product recommendations, personalization, and demand forecasting.
• Work across the ML lifecycle - from data exploration and feature engineering to model training, validation, and deployment.
• Collaborate closely with product and engineering teams to turn business problems into data-driven solutions.
• Design and maintain robust ML pipelines, ensuring models are scalable, testable, and easy to iterate on.
• Continuously monitor and improve model performance in production through testing, evaluation, and experimentation.
• Contribute to technical decisions, share knowledge with peers, and help evolve best practices in our ML stack.
• Stay up to date with recent ML advancements and bring new ideas to the team.

Required Professional Skills

• Programming Languages: Python, SQL
• ML Experience: 2+ years as an ML Engineer or Data Scientist
• Cloud Platform Familiarity: AWS (especially SageMaker) and Docker are a plus.
• ML Lifecycle & MLOps Understanding: Knowledge of model lifecycle and MLOps principles is a bonus.
• Data Handling: Comfortable working with real-world messy data and iterating quickly.
• Communication: Strong communication skills.

Desired Attributes

• Proactivity: Taking initiative and providing feedback.
• Critical Thinking: Problem-solving skills.
• Adaptability: Thriving in a fast-paced, evolving environment.

Application Instructions

• Not specified in the job description.

Company Information

• Company Name: SweedPos
• Industry: Cannabis Retail Technology
• Mission: To drive transformation in the cannabis industry by making retail more efficient, accessible, and customer-friendly.
• Company Status: 7 years in the market, continuously growing and refining the product. Focused on customer trust and compliance.