Job Title: AI Operations Engineer (L4/L5)
Location: EU (Remote)
Start Date: ASAP
Contract Duration: 12 months (with possibility of extension)
Working Method: 100% Remote (with 1-2 business trips per year; travel expenses reimbursed separately)
Language Requirements: English (Fluent)
Experience Level: Senior (3-5+ years)
Role Overview
We are looking for a talented AI Operations Engineer to join our team and support the design, implementation, and maintenance of machine learning pipelines using Vertex AI. You will collaborate closely with data scientists and engineers to deploy, monitor, and scale AI models across production environments. The role is central to ensuring the reliability, scalability, and efficiency of our AI workflows in a cloud-native setting.
Key Responsibilities
Design, build, and manage machine learning pipelines using Vertex AI
Collaborate with cross-functional teams to deploy and monitor production ML models
Ensure data integrity and scalability of AI workflows and data pipelines
Troubleshoot and resolve issues related to model performance, data quality, and deployment reliability
Contribute to the automation and improvement of MLOps processes
Maintain documentation and ensure best practices in versioning and model governance
Required Skills & Experience
University degree in Computer Science or a related field
35+ years of experience in AI operations, machine learning engineering, or a related technical role
Proven experience with Vertex AI pipeline development and management
Proficient in Python and SQL for data handling and processing
Strong understanding of ML lifecycle management and data science workflows
Experience with Airflow or other orchestration tools for managing ML workflows
Familiarity with BigQuery and large-scale data processing tools
Knowledge of Terraform and infrastructure-as-code for managing cloud resources
Solid background in data engineering principles, ETL pipelines, and model integration
Excellent communication and documentation skills in English
If you're passionate about scaling AI solutions, working with cutting-edge cloud technologies, and improving operational AI pipelines in a collaborative environment, wed love to hear from you.