Senior Machine Learning Engineer

The Role Veeva Data Cloud is connected data for Life Sciences to accelerate insights and increase efficiency with better data built on a common data architecture. Within Data Cloud we are the AI team powering the entire suite of products. By building a unified set of AI tools, we enable agility and quality at a global scale. Our state‑of‑the‑art ML and AI models complement the work of more than 3,000 data stewards and thereby reinforce each other. By combining AI with human data stewards, we are able to transform data into actionable insights so that clinical innovation can be developed faster and ultimately more patients can access the treatments they need. We are looking for someone to work in a cross‑functional team of data scientists, engineers and data product managers to productize and scale the AI tools that we build. Veeva is a work‑anywhere company which means you can work in an office or at home on any given day. It’s about getting the work done in the way and place that works best for each person. What You'll Do Leverage genAI for web research and task automation Build scalable, cost‑efficient, and fault‑tolerant solutions in AWS or GCP Design, integrate, and optimize end‑to‑end AI pipelines using a data‑driven approach Develop and manage ML infrastructure and CI/CD pipelines to support data products Provide engineering mentorship and guidance to data scientists Collaborate with ML engineers, data engineers/scientists, product, and operations teams Partner with data quality teams to develop data annotation and evaluation pipelines, monitoring solutions, and dashboards Requirements Proven ability to take ideas into a production system at scale with cost effective emphasis Experience in genAI frameworks and agentic development Experience with asynchronous and batch APIs for GenAI, web search etc. 4+ years of experience in professional software development, with solid programming skills in Python and excellent debug abilities 2+ years of experience in cloud development preferably in AWS 2+ years of experience as a Machine Learning Engineer or relevant jobs Up‑to‑date knowledge of the latest ML innovations and frameworks Experience in infrastructure automation and provisioning using Terraform or equivalent Infrastructure‑as‑Code tools Professional in ML Operationalization, including workflow/model management platforms Great skills in Data Engineering including data pipelines and ETLs Experience in containerization, Kubernetes, and relevant distributed computing for training and inference Strong collaboration skills and good verbal and written communication skills in English Nice to Have Experience in the life/health science industry, notably pharma Great skills in big data technologies such as Spark Experience with Vector databases & NoSQL Familiarity with architectural choices, particularly for ML systems Crawling/Webscraping, specially with AI tools Perks & Benefits Work anywhere Veeva charitable giving program Fitness reimbursement Life insurance + pension fund Compensation Total compensation: 65,000 - 130,000 EUR The total compensation range listed here has been provided to comply with local regulations and represents a potential total compensation range for this role. Please note that actual total compensation may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position's total compensation may be composed of other types of compensation, such as variable bonus and/or stock bonus. Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, 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. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at View email address on click.appcast.io. #J-18808-Ljbffr