Requirements: English
Company: KBC Technologies Group
Region: Barcelona , Catalonia
Job Summary:
We are seeking a highly skilled AI Platform Engineer with a passion for building scalable systems and enabling AI at scale. In this role, you will design, develop, and maintain robust infrastructure and tools that support the end-to-end machine learning lifecycle. You will work closely with cross-functional teams to deploy intelligent solutions using cutting-edge cloud and DevOps practices.
Key Responsibilities:
- Design and implement scalable AI platform solutions to support ML workflows.
- Build and deliver software using Python (experience with additional languages is a plus).
- Deploy infrastructure and tools for running ML and data science at scale using Infrastructure as Code (IaC).
- Enable automation strategies through DevOps practices and CI/CD pipelines.
- Apply MLOps practices to accelerate and automate the machine learning lifecycle.
- Manage and optimize application deployments on Amazon EKS (Elastic Kubernetes Service).
- Implement Infrastructure as Code using Terraform or AWS CloudFormation.
- Provision and scale AI platforms like Domino Data Labs, Databricks, or similar tools.
- Collaborate with cross-functional teams to integrate AI into AWS cloud infrastructure.
- Develop DevOps pipelines using GitHub and GitHub Actions.
- Ensure the high availability, reliability, and performance of AI platform services.
- Monitor, diagnose, and resolve system performance issues proactively.
- Stay current with industry trends and AI/cloud technology advancements.
- (Optional/Favorable) Work within GxP-compliant life science environments.
Required Qualifications:
- Proven hands-on experience with Amazon EKS and AWS services.
- Strong expertise in Terraform and/or AWS CloudFormation for IaC.
- Proficient in Python programming.
- Experience provisioning and managing AI platforms (e.g., Domino Data Labs, Databricks).