Senior Machine Learning Engineer in COO Analytics

We are a well-established brand with strong financials, global reach, and omni-channel strategies. We value innovation, agile principles balanced with compliance and quality, reliable service, and a practical work approach.

Requirements

• Experience working on machine learning projects
• Practical experience developing with Python
• Experience designing distributed software with cloud-based managed services (preferably GCP)
• Familiarity with machine learning technologies and frameworks, such as sklearn, MLFlow, TensorFlow (including those available on GCP)
• Understanding of MLOps architecture and methodologies
• Knowledge of software engineering practices including version control, testing, documentation, and code review
• Experience building data pipelines, including ETL processes and data processing frameworks like pySpark
• Proficiency in data manipulation and transformation using tools such as SQL
• Background in monitoring and observability with tools like the ELK stack
• Experience implementing deployment and provisioning automation tools including Docker, Kubernetes, Openshift, and CI/CD

Benefits

• 25-28 vacation days depending on contract
• Pension scheme
• 13th month salary
• 8% Holiday payment
• Hybrid working
• Personal growth and challenging work with endless possibilities
• An informal working environment with innovative colleagues