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The DS/ML Engineer will develop scalable language services using NLP, NLU, and NLG in SaaS products. Responsibilities include optimizing models, automating deployments, and mentoring team members.

As a DS/ML Engineer at Veeva Systems, you will develop large-scale AI language features, including NLP, NLU, and NLG, within a cross-functional team. Responsibilities include building scalable language services, optimizing models, and managing MLOps automation for production. You will also mentor team members and maintain a strong communication framework.

As the Account Partner, you'll manage relationships with key stakeholders in the Life Sciences sector, focusing on account strategy and execution, driving sales, and providing innovative solutions. Responsibilities include nurturing relationships, overseeing renewals, and managing complex sales cycles to meet revenue targets.

As a Senior Software Engineer at Veeva Systems, you will lead a team in designing and building cloud infrastructure for managing large healthcare datasets. You will collaborate with Product Managers, develop back-end solutions in Java and Spark, architect scalable data products, and address production issues, all while ensuring data privacy and system optimization.

As a Principal Software Engineer, you will design and implement big data platforms and ML data pipelines, focusing on Apache Spark applications in AWS. You’ll collaborate with a team of engineers and data scientists, improving development practices while processing large volumes of medical records securely.

As a Principal Site Reliability Engineer, you will manage production environments, ensure high availability on AWS, develop automation tooling, and collaborate across teams to enhance CI/CD methods. Your role involves root cause analysis, cost-saving initiatives, and improving technology stacks in a cloud-based infrastructure.

As a Senior Site Reliability Engineer at Veeva Systems, you will manage and enhance the reliability of cross-platform systems, ensuring high uptime and efficient deployment in both on-prem and cloud environments. Responsibilities include root cause analysis of issues, working with automation tools, and collaborating with various teams to improve overall technology stacks.