Leverage genAI for web research and task automation
Build scalable, cost-efficient, and fault-tolerant solutions in AWS or GCP
Design, integrate, and optimize end-to-end AI pipelines using a data-driven approach
Develop and manage ML infrastructure and CI/CD pipelines to support data products
Provide engineering mentorship and guidance to data scientists
Collaborate with ML engineers, data engineers/scientists, product, and operations teams

🎯 Requirements

4+ years of Python software development with strong debugging
2+ years cloud development, preferably AWS
GenAI frameworks and agentic development
Terraform or IaC tooling for infrastructure automation
Containerization with Kubernetes for training/inference
Data engineering: data pipelines and ETLs

🎁 Benefits

Work anywhere
Veeva charitable giving program
Fitness reimbursement
Life insurance + pension fund

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