Description:

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.
The company is one of the fastest-growing SaaS companies in history, surpassing $2B in revenue in the last fiscal year with extensive growth potential ahead.
Veeva is a public benefit corporation (PBC), legally bound to balance the interests of customers, employees, society, and investors.
The company supports flexible work arrangements, allowing employees to work from home or in the office.
The role involves developing innovative services that make a difference in the life sciences industry.
The Veeva Link engineering team seeks Data Scientists and Machine Learning Engineers to build and operate AI language features for global clients.
Responsibilities include working within a cross-functional application team to build scalable language services in NLP, NLU, and NLG for live SaaS products, developing an experiment backlog, building models to solve real-world problems, optimizing models for production, and automating deployments, testing, and monitoring (MLOps).

Requirements:

Candidates must have 5+ years of experience developing data and analytics products such as sentiment analyzers, translation engines, summarizers, or other language services.
Expertise in Machine Learning, Modeling, and development with Python is required.
Candidates should be experts in MLOps with experience in at least one platform, such as MLflow, Kubeflow, or end-to-end automation with SageMaker services.
The ability to mentor others and work independently is essential.
Strong communication skills are required for this position.

Veeva is committed to fostering a culture of inclusion and growing a diverse workforce, valuing individuals for their unique contributions.
The company provides assistance or accommodation for applicants with disabilities or special needs during the recruitment process.