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