DevOps / MLOps Engineer

Hashlist; Torino; Ibrido; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Hashlist is seeking a Senior DevOps / MLOps Engineer in Torino, Italy. The successful candidate will design and operate scalable, secure, and automated platforms for data engineering and AI workloads. Key responsibilities include managing cloud infrastructure, automating ML lifecycles, and improving system reliability. Ideal candidates have over 7 years of experience, strong AWS expertise, and a passion for automating AI platforms. The job offers a hybrid working model and opportunities for ownership and autonomy.

Competenze

• 7+ years experience in DevOps / Platform Engineering.
• Expertise in Kubernetes and Terraform.
• Strong knowledge of AWS services.

Mansioni

• Design and operate DevOps and MLOps platforms.
• Build CI/CD and ML pipeline templates.
• Automate ML lifecycle from training to deployment.

Conoscenze

AWS (EC2, EKS, Lambda, VPC, IAM, S3)

Kubernetes

Terraform

CI/CD (GitLab, GitHub Actions)

Python

MLOps Skills

Data pipelines

AI platforms

Strong collaboration and communication skills

Formazione

Bachelor’s degree or equivalent experience

Descrizione del lavoro

Overview

We are looking for a Senior DevOps / 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 DevOps 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 IaC 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 DevOps / Platform Engineering
• Strong AWS experience (EC2, EKS, Lambda, VPC, IAM, S3)
• Kubernetes and Terraform expertise
• CI/CD experience (GitLab, GitHub 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