MLOps/Tech Lead

Seargin; Burgenland; Hybrid; EUR 60 000 - 90 000; Vollzeit

Zusammenfassung

A leading international company is seeking an MLOps Infrastructure Engineer to enhance their machine learning operations. The role includes architecture design, infrastructure deployment, and cost management, requiring strong expertise in cloud technologies and security practices. Candidates will work in a dynamic environment on engaging and prestigious international projects, with attractive remuneration and benefits.

Leistungen

B2B contract

Access to Multisport benefits

Private healthcare

Engaging projects with latest IT technologies

Qualifikationen

• Experience with Roche SRA/DCR preferred.
• Hands-on experience with FinOps principles.
• Familiarity with Infrastructure-as-Code tools.

Aufgaben

• Design and refine MLOps architecture.
• Develop and deploy infrastructure components for ML operations.
• Monitor and optimize financial aspects of MLOps infrastructure.

Kenntnisse

Security practices

Cloud infrastructure management

System architecture

MLOps fundamentals

Python

Docker

Kubernetes

Terraform

CI/CD tools

Observability tools

Jobbeschreibung

The job description is comprehensive and detailed, but it can be improved in terms of formatting and clarity. The current structure is somewhat cluttered, especially with the initial paragraph about cookies and data policies, which is irrelevant to the job role. Removing this and organizing the responsibilities, requirements, and benefits more clearly with appropriate HTML tags will enhance readability. Additionally, some repetitive phrases and minor grammatical issues should be corrected for professionalism. Here is a refined version:

Job Title: MLOps Infrastructure Engineer

We are seeking a skilled MLOps Infrastructure Engineer to join our team. The role involves collaborating on architecture, implementing infrastructure components, maintaining documentation, supporting security practices, and working across teams to ensure scalable and efficient MLOps operations.

Responsibilities

• Participate in designing and refining MLOps architecture in collaboration with the architecture team.
• Develop and deploy infrastructure components supporting machine learning operations.
• Create and maintain detailed documentation of system architecture and components.
• Maintain and update configurations for MLOps systems, ensuring security and compliance.
• Support the implementation of security best practices within the MLOps environment.
• Monitor and optimize financial aspects of MLOps infrastructure, including resource usage and costs.
• Evaluate technical solutions and contribute to architectural improvements.
• Assist in decomposing initiatives into technical tasks and managing backlogs.
• Collaborate with engineers, data scientists, and IT teams for consistent MLOps implementation.
• Contribute to continuous process and workflow improvements.

Requirements

• Experience with security practices in technical environments, preferably familiar with Roche SRA/DCR.
• Hands-on experience managing cloud infrastructure costs using FinOps principles.
• Strong understanding of system architecture and design patterns, especially in MLOps.
• Knowledge of MLOps fundamentals such as model serving, pipelines, and monitoring.
• Proficiency in Python for scripting and automation.
• Extensive experience with cloud platforms, preferably AWS.
• Deep familiarity with Docker, Kubernetes, Helm, and Kustomize.
• Practical experience with Infrastructure-as-Code tools like Terraform or AWS CDK.
• Experience with CI/CD tools such as GitLab CI and ArgoCD.
• Knowledge of observability tools like Grafana, ELK, or Datadog.
• Ability to decompose tasks and collaborate effectively across teams.

What We Offer

• Employment on a B2B contract.
• Opportunity to work in a stable, international, and dynamic company.
• Engaging projects with the latest IT technologies.
• Attractive remuneration rates.
• Participation in prestigious international projects.
• Access to Multisport benefits and private healthcare.

Application Process

Interested? Send your CV to [e-mail].

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