Senior Machine Learning Engineer

📋 Description

• Execute software engineering tasks to support end-to-end ML operations.
• Design, build, and maintain MLOps systems (microservices, APIs, orchestration) using Python, Kubernetes, Kafka.
• Implement observability with Prometheus and Grafana for production ML systems.
• Collaborate with data scientists to streamline LLM and generative AI workflows.
• Review architecture and plans for scalability and best practices.
• Mentor junior and mid-level engineers, promoting collaboration and excellence.

🎯 Requirements

• Bachelor’s or Master’s in CS/Engineering or related field.
• 5+ years in ML, MLOps, DevOps, or software engineering.
• Python and Linux; scalable distributed systems.
• MLOps workflows, CI/CD, monitoring, production optimization.
• Cloud (AWS/GCP), Terraform, containers, Kubernetes.
• Observability with Prometheus, Grafana, OpenTelemetry; mentoring and leadership.

🎁 Benefits

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