Senior Machine Learning Engineer

Summary

Join Veeva Systems, a mission-driven organization and pioneer in industry cloud, to transform the life sciences industry by developing LLM-based agents for extracting detailed information about Key Opinion Leaders (KOLs) in healthcare. As a Machine Learning Engineer, you'll build an end-to-end pipeline to analyze unstructured websites and medical documents, enabling semantic searches for KOL data across various languages.

Requirements

• 3+ years of experience as a Machine Learning Engineer or relevant jobs
• 2+ years of experience in cloud development, ideally in AWS
• Professional in ML operationalization, including CI/CD pipelines and workflow/model management, stacks such as Airflow and MLfLow
• Professional in distributed computing platforms (Ray and Spark) as well as Kubernetes for inference
• Solid understanding and experience in deep learning frameworks (e.g., PyTorch, JAX,...)
• Hands-on experience in in-house training and inference of LLMs
• Strong collaboration skills as well as verbal and written communication skills

Responsibilities

• Develop and manage ML infrastructures and CI/CD pipelines to support multiple data products
• Build fully automated, scalable, cost-effective, and fault-tolerant solutions in AWS to process billions of records
• Provide engineering mentorship and guidance to data scientists
• Develop LLM-based agents capable of performing function calls and utilizing tools such as browsers for enhanced data interaction and retrieval
• Collaborate with data scientists, data engineers, and product/operation teams

Benefits

• Work anywhere
• Personal development budget (equal to 2% of your salary and in addition to that)
• Veeva charitable giving program
• Fitness reimbursement
• Life insurance + pension fund