Product ML Engineer

Remotedxb; Dubai; On-site; AED 350,000 - 650,000; Full time

Job summary

SweedPos, a Dubai-based startup, is looking for an experienced Machine Learning Engineer to enhance our all‑in‑one cannabis retail platform. You will own production ML systems and drive recommendations, personalization, and scalable APIs from Dubai, UAE.

You’ll build ranking/retrieval models, run A/B tests, monitor ML metrics, and collaborate with product teams to improve forecasting and user experiences.

Qualifications

• 5+ years of production Machine Learning Engineering experience.
• Strong commercial experience with recommendation systems.
• Proficiency in Python and SQL.
• Experience with ranking, retrieval, collaborative filtering, or embeddings.
• Experience building and maintaining production ML systems.
• Experience with A/B testing and experimentation; strong ML lifecycle knowledge.
• Experience building APIs or production inference services.
• Familiarity with MLOps, CI/CD, and observability.
• Strong software engineering fundamentals.

Responsibilities

• Build and improve production recommendation and ranking systems
• Develop personalization models across the eCommerce customer journey
• Work on candidate generation, retrieval, ranking, and re-ranking approaches
• Design personalized product feeds, carousels, and next-best-action experiences
• Contribute to customer behavior, demand, and product-level forecasting
• Connect recommendation systems with search and conversational shopping experiences
• Define and track offline ML metrics and online product metrics
• Design and run experiments and A/B tests to validate product hypotheses
• Build scalable inference services and ML APIs
• Improve feature pipelines, training workflows, monitoring, and internal ML tooling
• Participate in architectural discussions and technical decision-making

Skills

Python

SQL

ML Lifecycle

Production ML

A/B Testing

API Development

MLOps

Job description

About the Company

SweedPos is a product-driven startup building an all-in-one cannabis retail platform. Our enterprise-grade platform combines POS, eCommerce, Marketing, Analytics, and Inventory Management into a single, seamless solution, helping retailers drive business growth through innovation and efficiency.

Responsibilities

• Build and improve production recommendation and ranking systems
• Develop personalization models across the eCommerce customer journey
• Work on candidate generation, retrieval, ranking, and re-ranking approaches
• Design personalized product feeds, carousels, and next-best-action experiences
• Contribute to customer behavior, demand, and product-level forecasting
• Connect recommendation systems with search and conversational shopping experiences
• Define and track offline ML metrics and online product metrics
• Design and run experiments and A/B tests to validate product hypotheses
• Build scalable inference services and ML APIs
• Improve feature pipelines, training workflows, monitoring, and internal ML tooling
• Participate in architectural discussions and technical decision-making

Requirements

• 5+ years of production Machine Learning Engineering experience
• Strong commercial experience with recommendation systems
• Proficiency in Python and SQL
• Experience with ranking, retrieval, collaborative filtering, or embeddings
• Experience building and maintaining production ML systems
• Experience with A/B testing and experimentationStrong understanding of the full ML lifecycle (experimentation, deployment, monitoring)
• Experience building APIs or production inference services
• Familiarity with MLOps, CI/CD, and observability
• Strong software engineering fundamentals

Preferred Qualifications

• Experience with forecasting or time-series models
• Experience with eCommerce, marketplaces, or advertising products
• Experience with search or information retrieval
• Experience building feature pipelines or feature stores
• Experience building ML systems from an early stage