Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.
The Role
Veeva Data Cloud is connected data for Life Sciences to accelerate insights and increase efficiency with better data built on a common data architecture. Within Data Cloud we are the AI team powering the entire suite of products. By building a unified set of AI tools, we enable agility and quality at a general scale. Our state‑of‑the‑art ML and AI models complement the work of more than 3,000 data stewards and reinforce each other. By combining AI with human data stewards, we transform data into actionable insights so that clinical innovation can be developed faster and ultimately more patients can access the treatments they need.
We are looking for someone to work in a cross‑functional team of data scientists, engineers and data product managers to productize and scale the AI tools that we build.
What You’ll Do
- 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
Requirements
- 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 professional software development experience, 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 in a related role
- Up‑to‑date knowledge of the latest ML innovations and frameworks
- Experience in infrastructure automation and provisioning using Terraform or equivalent 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
Nice to Have
- Experience in the life/health science industry, notably pharma
- Great skills in big data technologies such as Spark
- Experience with vector databases & NoSQL
- Familiarity with architectural choices, particularly for ML systems
- Experience with crawling/webscraping, especially with AI tools
Perks & Benefit
- Work anywhere
- Veeva charitable giving program
- Fitness reimbursement
- Life insurance + pension fund
As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
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