Related skills
terraform aws python kubernetes gcpπ Description
- Leverage genAI for web research and task automation
- Build scalable, cost-efficient ML solutions in AWS or GCP
- Design end-to-end AI pipelines using a data-driven approach
- Develop ML infra and CI/CD pipelines to support data products
- Provide engineering mentorship to data scientists
- Collaborate with ML engineers, data engineers/scientists, product and operations teams
π― Requirements
- 4+ years in professional software development with Python
- 2+ years cloud development, preferably AWS
- 2+ years as a Machine Learning Engineer or similar
- Up-to-date knowledge of the latest ML innovations and frameworks
- Experience with Terraform or IaC tooling
- ML Ops and workflow/model management experience
π Benefits
- Work anywhere
- Veeva charitable giving program
- Fitness reimbursement
- Life insurance + pension fund
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