Veeva Systems - Senior Machine Learning Engineer

Remote - Portugal - Lisbon2w ago

Remote Senior EMEA Pharmaceuticals Artificial Intelligence Cloud Computing Machine Learning Engineer Senior Data Scientist Python AWS Terraform Kubernetes Vector

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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 (IaC) 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 • 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

Responsibilities

• 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

Benefits

• Veeva charitable giving program • Fitness reimbursement • Life insurance + pension fund • #RemotePortugal • Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.