Overview
We are looking for a Senior Dev Ops / MLOps Engineer to design, build, and operate scalable, secure, and automated platforms supporting data engineering, machine learning, and AI workloads in production.
Working model: Hybrid Responsibilities Design and operate Dev Ops and MLOps platforms Build CI/CD and ML pipeline templates Automate ML lifecycle from training to deployment and monitoring Manage Kubernetes and cloud infrastructure Enforce security, compliance, and Ia C standards Improve reliability, scalability, and observability Participate in on-call rotation and incident response Qualifications Bachelor's degree or equivalent experience 7+ years experience in Dev Ops / Platform Engineering Strong AWS experience (EC2, EKS, Lambda, VPC, IAM, S3) Kubernetes and Terraform expertise CI/CD experience (Git Lab, Git Hub Actions) Python and scripting skills.
MLOps Skills (Preferred) Model serving, monitoring, and drift detection Data pipelines and ML governance.
Certifications (Preferred) AWS Solutions Architect Ownership and autonomy Passion for automation and AI platforms Strong collaboration and communication skills #J-*****-Ljbffr

📌 Devops / Mlops Engineer (Torino)
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📍 Torino