Senior Software Engineer – Machine Learning

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Maropost

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

🛍️ eCommerce

🤝 B2B

☁️ SaaS

💰 Secondary Market on 2022-04

eCommerce • B2B • SaaS

Maropost is a comprehensive commerce platform that offers integrated solutions for marketing, merchandising, and operations. It provides a suite of cloud-based products designed to streamline and enhance customer engagement, including Marketing Cloud for email, SMS, social media, and landing pages, and Service Cloud to unify customer support and ecommerce data. Maropost also offers solutions like Neto for managing multichannel ecommerce stores and Retail Express for cloud-based point-of-sale software. The platform enables businesses to connect their preferred apps and provides industry-specific solutions across multiple sectors such as ecommerce, media, B2B, and travel. Trusted by over 5,000 businesses, Maropost's tools are designed to scale with growing business needs, offering personalized and predictive capabilities for superior customer experience.

📋 Description

• Design and build scalable, maintainable services, owning projects end-to-end with a primary focus on recommendation systems and personalization. • Prototype and develop LLM-driven agents to enable effective workflows for both merchants and shoppers. • Enhance the developer experience for the Machine Learning team by improving tools, workflows, and processes. • Strengthen and expand test coverage to ensure high-quality, reliable systems. • Contribute to technical and product specifications and actively participate in architecture and design discussions. • Write clean, reliable, and idiomatic Python code with a focus on readability.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or relevant field. • 5+ years of hands-on software development experience, including 3+ years in Python within Machine Learning or Data Scientist roles which is a must. • Must-have hands-on experience experience completing end-to-end projects in recommendations, personalization, or AI agents. • Must-have experience handling projects end-to-end, from stakeholder discussions to production deployment and monitoring. • Good experience working in B2C product-based environments. • Strong understanding of ML libraries and tools landscape. • Continuously enhance developer experience through better tooling and process improvements. • Have in-depth understanding of CI/CD pipelines, version control, and automated testing. • Proactive and self-driven, with strong problem-solving and communication skills across technical and non-technical stakeholders. • Comfortable with on-call rotations and focused on building simple, efficient solutions without over-engineering.

🏖️ Benefits

• Professional development opportunities