Software Engineer - Machine Learning

Quberesearchandtechnologies; Paris; Sur place; EUR 45 000 - 65 000; Plein temps

Avantages offerts par ce poste

Healthy work-life balance initiatives

Diversity programs

Collaborative work environment

Résumé du poste

Quberesearchandtechnologies in Paris is seeking a Software Engineer – ML to turn research outputs into robust production systems. You will collaborate with research teams, design workflows, and develop CI/CD pipelines to improve reliability and quality of ML processes.

The ideal candidate should have proficiency in Python, experience with DevOps tools, and strong problem-solving abilities. Join us to transform industries with technology while maintaining a healthy work-life balance.

Qualifications

• Proficiency in Python and software engineering best practices.
• Experience with system integration and automation.
• Familiar with cloud platforms like AWS and GCP.

Responsabilités

• Collaborate with Research and Machine Learning engineers.
• Design and implement end-to-end research-to-production workflows.
• Develop and maintain CI/CD pipelines for quality enforcement.

Connaissances

Proficiency in Python

Software engineering best practices

DevOps practices and tools

Cloud platforms (e.g. AWS, GCP)

Monitoring and alerting

Problem-solving abilities

Communication skills in English and French

Outils

Docker

Kubernetes

CI/CD pipelines

Description du poste

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

As a Software Engineer – ML you will focus on turning research outputs into robust, scalable, and well-operated production systems. You will directly contribute to our engineering platform and automation efforts that accelerate delivery, improve reliability, and raise the quality bar across the ML and research lifecycle.

Your future role within QRT:

• Collaborate closely with Research and Machine Learning engineers to transition prototypes into production-grade services, jobs, and pipelines.
• Design, implement, maintain and support end-to-end research-to-production workflows (data/feature pipelines, training/inference jobs, batch processes, internal tooling).
• Build and improve automation around packaging, configuration, and environment reproducibility.
• Develop and maintain CI/CD pipelines to enforce code quality, testing, security checks, and smooth deployments.
• Contribute to deployment and runtime operations (containers, orchestration, infrastructure integration), ensuring reliability, performance, and maintainability.
• Implement monitoring, alerting, and observability (logs/metrics/traces) for production workloads; define operational runbooks and on-call support procedures when needed.
• Troubleshoot and resolve integration and production issues, ensuring optimal performance, robustness, and reliability.
• Create and maintain detailed documentation of system architecture, deployment processes, configurations, and support procedures.
• Stay updated with the latest technologies and best practices in software development, DevOps, and production operations.

Your present skill set:

• Proficiency in Python and strong knowledge of software engineering best practices (testing, code review, design, maintainability).
• Strong experience in software development, system integration, and automation.
• Familiarity with cloud platforms (e.g., AWS, GCP) and their integration services.
• Strong understanding of IT infrastructure, networking, and security principles.
• Experience with DevOps practices and tools (CI/CD pipelines, Docker, Kubernetes).
• Solid understanding of production operations: monitoring/alerting, incident troubleshooting, performance tuning, and reliability practices.
• Knowledge of data management and database systems.
• Excellent problem-solving abilities and a proactive mindset.
• Strong written and oral communication (English and French), able to explain complex issues to non-technical users.
• Independent and collaborative team worker.
• Passionate about technology and its potential to transform industries and user experiences.
• Enjoys working in a collaborative environment and building relationships with team members.
• Organized, detail-oriented, and committed to delivering high-quality solutions.
• Flexible and adaptable, able to handle the dynamic nature of project requirements and timelines.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.