Senior Machine Learning Engineer, Veeva

• 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

Desirable

• As part of the AI team, your main task will be to develop LLM-based agents specialized in extracting detailed information about Key Opinion Leaders (KOLs) in healthcare. You’ll build an end-to-end pipeline to analyze unstructured websites, and medical documents, and enable semantic searches for KOL data across various languages
• Using cloud infrastructure, you'll create models for information extraction and collaborate with software developers to deploy them. We aim to set new industry standards by training ML models with input from 2000+ curators, ensuring quality and scalability across different regions, languages, and specialties
• 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