
1001 - 5000 employees
☁️ SaaS
⚕️ Healthcare Insurance
💊 Pharmaceuticals
SaaS • Healthcare Insurance • Pharmaceuticals
Veeva Systems is a cloud-computing company focused on the global life sciences industry. It provides software, data, and consulting services to streamline research and development, quality management, regulatory operations, and commercial processes. Veeva's solutions encompass clinical trials, regulatory submissions, drug safety management, and commercial execution to support life sciences enterprises in their mission to improve and extend life.
🕒 March 31
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1001 - 5000 employees
☁️ SaaS
⚕️ Healthcare Insurance
💊 Pharmaceuticals
SaaS • Healthcare Insurance • Pharmaceuticals
Veeva Systems is a cloud-computing company focused on the global life sciences industry. It provides software, data, and consulting services to streamline research and development, quality management, regulatory operations, and commercial processes. Veeva's solutions encompass clinical trials, regulatory submissions, drug safety management, and commercial execution to support life sciences enterprises in their mission to improve and extend life.
• At Veeva Link, we're building the intelligence layer for life sciences, creating connected data applications that accelerate drug development and significantly improve patient outcomes. • Develop sophisticated applications that map and understand global scientific and medical expertise, providing high-impact insights and AI-generated intelligence. • Engineer workflow applications powered by data, using AI to find patterns and route information precisely. • Define the best approach to solve problems with ML. Build data and model pipelines. • Test and validate services. Deploy and monitor solutions for impact.
• 5+ years of developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services • Expert in Machine Learning, Modeling, and development with Python • Expert in MLOps with at least one platform, e.g.: MLflow, Kubeflow, or end-to-end automation with SageMaker services • Ability to mentor others and work independently • Strong communication skills
• Work Anywhere means you can work in an office or at home on any given day. • Empowered Autonomy: Tech decisions are made within teams, giving engineers significant autonomy. • Collaborate with highly skilled teammates who take pride in achieving great outcomes. Excellence matters.
Apply Now🕒 March 27
Open Source Triage Lead managing Ultralytics GitHub community interactions and technical maintenance. Ensuring the excellence of the open-source ecosystem and collaborating with the ML team.
Docker
Open Source
Python
🕒 March 18
AI Engineer creating innovative solutions for the AI team. Developing cutting-edge AI projects with a strong focus on MLOps and deployment.
Azure
Cloud
Docker
GRPC
Python
PyTorch
SQL
Tensorflow