- 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.