Machine Learning Engineer
• Four or more years of work experience in software development/ML Engineering jobs.
• At least two years of experience are in ML Engineering areas.
• Experience with Python programming
• Experience in cloud based development and production environments - AWS, GCP and On-prem clusters
• Familiarity with large scale cloud-based platform/pipeline development and productization.
• Have experience with basic ML practices and standard workflows.
Even better if you have one or more of the following:
• Understand data science concepts and common needs from data scientists and data engineers.
• Strong collaboration skills and communication skills, especially when involving (non-tech) business stakeholders.
• Familiar with CI/CD processes and common frameworks, like Jenkins, Airflow, etc.
• Familiar with MLOps/DevOps.
• Four or more years of work experience in software development/ML Engineering jobs.
• At least two years of experience are in ML Engineering areas.
• Experience with Python programming
• Experience in cloud based development and production environments - AWS, GCP and On-prem clusters
• Familiarity with large scale cloud-based platform/pipeline development and productization.
• Have experience with basic ML practices and standard workflows.
Even better if you have one or more of the following:
• Understand data science concepts and common needs from data scientists and data engineers.
• Strong collaboration skills and communication skills, especially when involving (non-tech) business stakeholders.
• Familiar with CI/CD processes and common frameworks, like Jenkins, Airflow, etc.
• Familiar with MLOps/DevOps.
