Machine Learning Ops Engineer

A fast-growing US-based company active in the advertising space is looking for a Machine Learning Ops Engineer. The engineer will design, build and deploy ML pipelines using various AI platforms. The AI-powered machine learning tool is uniquely designed to create and deliver effective marketing creatives in any format. This job offers a sound opportunity for engineers to rub shoulders with highly skilled and experienced professionals while showcasing their skills. 

Job Responsibilities:

• Work on designing, building, and deploying ML pipelines using resources like Airflow, Python, Kubeflow, Vertex AI, etc.
• Monitor models under development for model evaluation 
• Deploy models within GCP. 
• Work with tools for scheduling or automating execution of processes advantageous 
• Reduce the time required to make a change to a model in production 

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a machine learning engineer
• Expertise in working on machine learning platforms
• Thorough knowledge of ML and AI platforms along with Kubeflow
• Ability to work with languages like Python and SQL
• Understanding of Docker and Kubernetes
• Ability to work on Big Query 
• Knowledge of DevOps processes
• Thorough understanding of Google Cloud Platform