AI Engineering Specialist
As an AI Engineering Specialist, you will play a crucial role in ensuring the seamless deployment of machine learning models into production environments. Your expertise in MLOps will be pivotal in bridging the gap between data science and software engineering.
Key Responsibilities:
* Maintain and improve CI/CD frameworks to ensure efficient model deployment and updates;
* Design and manage automation pipelines in Terraform to streamline infrastructure provisioning and configuration;
* Collaborate with Data Science Teams to deploy code and models on Databricks and Kubernetes platforms;
* Advise Data Scientists on best practices for MLOps and facilitate knowledge sharing across teams.
Requirements:
* At least 3 years of hands-on experience in MLOps positions, with a strong focus on DevOps and cloud computing;
* Expertise in Azure Databricks for ML workflows and proficiency in Azure DevOps and Azure Pipelines for CI/CD management;
* Strong knowledge of Docker, Kubernetes, and Terraform for infrastructure automation and orchestration;
* Extensive experience in automating ML workflows and model deployment;
* Excellent communication and collaboration skills, with the ability to work effectively in distributed teams;
* Fluency in English is mandatory.
Benefits:
* Health Insurance;
* Regular Performance Management Cycle;
* Flexible remote working model;
* Ongoing Training and Development Opportunities;
* Quarterly Team-Building Events.