AI/ML Engineer

Quick Facts

• Role: AI/ML Engineer

Description

Design, develop, test, and deploy machine learning models and solutions. Build and maintain scalable machine learning pipelines in Microsoft Azure using Python, and apply MLOps practices for model versioning, deployment, monitoring, and retraining. Collaborate with data and software engineers and stakeholders to deliver production-ready solutions and maintain technical documentation.

Responsibilities

• Design, develop, test, and deploy machine learning models and solutions
• Build and maintain scalable machine learning pipelines in Microsoft Azure
• Use Python for data preparation, model development, automation, and integration
• Implement MLOps practices: model versioning, deployment, monitoring, and retraining
• Collaborate with data engineers, software engineers, and project stakeholders
• Create and maintain technical documentation for models, pipelines, and delivered solutions

Requirements

• Professional experience in machine learning engineering or a closely related role
• Strong Python skills and practical experience with machine learning frameworks and libraries
• Hands-on experience with Microsoft Azure in a machine learning or data context
• Practical knowledge of MLOps, CI/CD, model deployment, and monitoring practices
• Ability to work effectively with project stakeholders and within a delivery team
• Good communication, problem-solving, and documentation skills

Benefits

• Learning and development opportunities: English language reimbursement and an individual development budget after probation
• Private medical care, sports card, preferential life insurance
• Hybrid work setup with flexibility (delivery teams mostly remote)
• Non-work activities and team events, including Office Day and various integrations/competitions
• Opportunity to submit charity causes to the CF4GOOD program
• Collaborative workplace culture