Senior Machine Learning Engineer

Veeva

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
Partner with data quality teams to develop data annotation and evaluation pipelines, monitoring solutions, and dashboard

Proven ability to take ideas into a production system at scale with cost effective emphasis
Experience in genAI frameworks and agentic development
Experience with asynchronous and batch APIs for GenAI, web search etc.
4+ years of experience in professional software development, with solid programming skills in Python and excellent debug abilities
2+ years of experience in cloud development preferably in AWS
2+ years of experience as a Machine Learning Engineer or relevant jobs
Up-to-Date knowledge of the latest ML innovations and frameworks
Experience in infrastructure automation and provisioning using Terraform or equivalent Infrastructure-as-Code (IaC) tools
Professional in ML Operationalization, including workflow/model management platforms
Great skills in Data Engineering including data pipelines and ETLs
Experience in containerization, Kubernetes, and relevant distributed computing for training and inference
Strong collaboration skills and good verbal and written communication skills in English