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.
We are an AI team supporting the entire suite of link data products (e.g., Link Key People). Agility and quality are our operating principles in developing cutting-edge ML models. Our ML models are trained by data captured by a massive group of over 1900 subject-matter experts. ML models complement the curational pipeline and scale our solutions to different regions, languages, and therapeutic areas. Ultimately, we accelerate clinical trials and equitable care. We are proud that our work helps patients to get their most urgent care sooner. See us in this video and learn why you may prefer to join us here.
We invite you to work remotely from any area within this country. However, it’s a prerequisite that you already reside in this country and hold legal work authorization without needing an employer’s support.
If you plan to move to this country or live nearby, we may still consider your application if you’re a superb fit for the role. In such scenarios, kindly supply an extra document that outlines your impending or current location, visa status, and the reasons that make you an excellent fit.
What You’ll Do
Technical lead for ML-Ops
Develop and manage ML infrastructures and CICD pipelines to support multiple data products
Provide engineering mentorship and guidance to data-scientists
Collaborate with ML engineers, data scientists, data engineers, and product and operation teams
Develop, integrate, and optimize end-to-end AI pipelines by a data-driven approach
Build fully automated, scalable, cost-effective, and fault-tolerant solutions in AWS to process billions of records
Collaborate with data quality teams to build data annotation/evaluation pipelines, monitoring, and dashboards
Strong collaboration skills as well as verbal and written communication skills
Professional in ML Operationalization, including workflow/model management platforms such as Airflow/MLflow
4+ years of experience in professional software development
2+ years of experience as a Machine Learning Engineer or relevant jobs
2+ years of experience in cloud development
Solid programming skills in Python
Great skills in Data Engineering and big data technologies such as Spark
Up-to-Date knowledge of the latest ML innovations and frameworks
Strong analytical skills and data curiosity
Nice to Have
Experience in the life/health science industry, notably pharma
Experience in containerization, Kubernetes, and relevant distributed computing for training and inference
Experience with NoSQL databases
Familiarity with architectural choices, particularly for ML systems
Leadership skills and a solid network to help in hiring and growing the team
Annual budget to donate to the non-profit of your choice
Health & wellness programs
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
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.