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 $2B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a
public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
As a
Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
The Role
Veeva OpenData Commercial supports the industry by providing reference data across the complete healthcare ecosystem, to support commercial sales execution, compliance, and business analytics. We drive value to our customers through constant innovation, using cloud-based solutions and state-of-the-art technologies to deliver product excellence and customer success.
This role is critical in creating ML and AI processes to power next-generation data collection. This position will be hired through an Employer on Record (EOR).
What You’ll DoWork within a cross-functional data team to build scalable NLP and ML modelsWork from end-to-end on live production pipelines. Not just modeling, not theoreticalDefine the best approach to solve problems with ML. Build data and model pipelinesTest, validate, deploy, and monitor solutions for impactOptimize models for production throughput and uptime requirementsAutomate deployments, testing, and monitoring (MLOps)Requirements2+ years of hands-on experience in a Machine Learning Engineer, Algorithm Engineer, or similar roleExpert-level proficiency in Python, with strong experience in building production-ready ML codeSolid foundation in machine learning concepts, including model training, evaluation, and optimizationPractical experience with deep learning or ML frameworks, such as PyTorch,TensorFlow, or related libraries (e.g., TRL for reinforcement learning or fine-tuning workflows)Familiarity with modern MLOps practices, including experiment tracking, model versioning, and deployment, using at least one platform such as MLflow,Kubeflow, or AWS SageMakerStrong problem-solving ability and the capacity to work both independently and collaborativelyStrong communication skills, with the ability to explain techNice to HaveExperience with cutting-edge AI techniques, such as: Agentic AI / Autonomous Agents, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs) and fine-tuning approachesExposure to end-to-end ML systems, including data ingestion, model serving, monitoring, and automated retraining.Experience working in cloud environments (AWS, GCP, or Azure).#LI-Remote
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
