SQLI
eCommerce • Digital Consulting • SaaS
SQLI is a European digital services company that specializes in defining, building, and enhancing the digital business value for international A-brands. Founded in the 1990s, SQLI leverages technology, creativity, and methodologies to create meaningful and engaging digital experiences. The company focuses on designing, developing, and deploying robust architectures to enhance business agility, increase efficiencies, and support business growth. With a wide range of services including e-Commerce, experience platforms, technology and transformation, data insights, digital marketing and consulting, SQLI is committed to taking businesses to the next level of digital engagement.
1001 - 5000 employees
Founded 1990
🛍️ eCommerce
☁️ SaaS
Machine Learning Engineer
Job not on LinkedIn
November 6
🗣️🇫🇷 French Required
SQLI
eCommerce • Digital Consulting • SaaS
SQLI is a European digital services company that specializes in defining, building, and enhancing the digital business value for international A-brands. Founded in the 1990s, SQLI leverages technology, creativity, and methodologies to create meaningful and engaging digital experiences. The company focuses on designing, developing, and deploying robust architectures to enhance business agility, increase efficiencies, and support business growth. With a wide range of services including e-Commerce, experience platforms, technology and transformation, data insights, digital marketing and consulting, SQLI is committed to taking businesses to the next level of digital engagement.
1001 - 5000 employees
Founded 1990
🛍️ eCommerce
☁️ SaaS
📋 Description
• As a Machine Learning & Python Development Engineer, you will contribute to a shared codebase for our recommendation algorithms. • Develop, optimize, and maintain a shared codebase: CI/CD, infrastructure, unit tests, functional tests, integration tests, code structure, modularity. • Collaborate with teams to integrate new features and improve code performance. • Design solutions based on Docker and Kubernetes for the deployment of models and applications. • Design and implement classical Machine Learning models (primarily classification).
🎯 Requirements
• Master's degree in Computer Science, Engineering, or a related field. • Minimum of 3 years' experience in a similar role. • Strong experience in Python development. • Advanced skills in Machine Learning and Deep Learning, with a deep understanding of core concepts and algorithms. • Expertise in Big Data, ideally with experience on digital data and distributed computing (Spark). • Excellent command of Docker, Kubernetes, and CI/CD. • Skills in optimization and large-scale data management. • Team player with strong communication skills.
🏖️ Benefits
• A dynamic, innovative environment within a team passionate about data technologies. • Opportunity to work on large-scale projects at the cutting edge of cloud and Big Data technologies. • Opportunities for career growth and continuous training to develop your skills. • A flexible work environment and attractive benefits.
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