Senior Machine Learning Engineer

📋 Description

• Execute software engineering tasks to support end-to-end machine learning operations, with a focus
• Design, build, and maintain MLOps systems, including microservices, queuing systems, APIs, and
• Implement observability tools such as Prometheus and Grafana to ensure reliability, performance
• Collaborate closely with data scientists and machine learning engineers to streamline workflows for
• Review architecture and implementation plans to ensure alignment with organizational goals
• Mentor junior and mid-level engineers, fostering a culture of collaboration, innovation, and

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of professional experience in Machine Learning, MLOps, DevOps, or Software Engineering
• Proficiency in Python and Linux, with strong knowledge of designing scalable, distributed systems.
• Hands-on experience in designing, implementing, and maintaining MLOps workflows, including CI/CD
• Strong background in cloud computing (AWS/GCP), infrastructure as code (Terraform)
• Solid understanding of modern software development practices such as test-driven development (TDD)

🎁 Benefits

• Medical care
• Sport Card (MultiSport)
• MultiLife (mental and physical wellbeing)
• Attractive employee referral program
• Nearmap subscription (naturally)