![How to Use GA4 to Track Social Media Traffic: 6 Questions, Answers and Insights [VIDEO]](https://www.orbitmedia.com/wp-content/uploads/2023/06/ab-testing.png)
![How Human Behavior Impacts Your Marketing Strategy [Video]](https://contentmarketinginstitute.com/wp-content/uploads/2025/03/human-behavior-impacts-marketing-strategy-cover-600x330.png?#)
![How to Make a Content Calendar You’ll Actually Use [Templates Included]](https://marketinginsidergroup.com/wp-content/uploads/2022/06/content-calendar-templates-2025-300x169.jpg?#)
![Building A Digital PR Strategy: 10 Essential Steps for Beginners [With Examples]](https://buzzsumo.com/wp-content/uploads/2023/09/Building-A-Digital-PR-Strategy-10-Essential-Steps-for-Beginners-With-Examples-bblog-masthead.jpg)
ML Ops Architect
A company is looking for a ML Ops Architect. Key Responsibilities Implement scalable systems using cloud-based architectures for model inference Deploy and manage machine learning and data pipelines in production environments Collaborate with cross-functional teams to enhance software for big data and ML applications Required Qualifications Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 7+ years of hands-on experience in developing advanced analytics solutions, with at least 4 years in Python programming 3+ years of experience in designing and building data-intensive solutions using distributed computing 3+ years of experience in productionizing and maintaining machine learning models Understanding of Azure stack and experience with cloud platforms like AWS or Google Cloud
A company is looking for a ML Ops Architect.
Key Responsibilities
Implement scalable systems using cloud-based architectures for model inference
Deploy and manage machine learning and data pipelines in production environments
Collaborate with cross-functional teams to enhance software for big data and ML applications
Required Qualifications
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
7+ years of hands-on experience in developing advanced analytics solutions, with at least 4 years in Python programming
3+ years of experience in designing and building data-intensive solutions using distributed computing
3+ years of experience in productionizing and maintaining machine learning models
Understanding of Azure stack and experience with cloud platforms like AWS or Google Cloud