Senior Machine Learning Engineer

Job not on LinkedIn

🕒 March 24

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 233 days.
• Jobs at this company usually fill in 130 days.
• No salary listed.

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Veeva Systems

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Veeva Systems is a cloud-computing company focused on the global life sciences industry. It provides software, data, and consulting services to streamline research and development, quality management, regulatory operations, and commercial processes. Veeva's solutions encompass clinical trials, regulatory submissions, drug safety management, and commercial execution to support life sciences enterprises in their mission to improve and extend life.

📋 Description

• 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 (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

🏖️ Benefits

• Work anywhere • Veeva charitable giving program • Fitness reimbursement • Life insurance + pension fund

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