Amazon Web ServicesCloud DevelopmentData ScienceDatabasesNatural Language ProcessingPattern RecognitionReinforcement LearningSpeech RecognitionWritten
Senior (5-8 years) -
UK
The Industry Cloud for Life Sciences
8465+ employees
SaaS
Role
Who you are
3+ years of experience as a Machine Learning Engineer
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
Desirables
Experience in the life/health science industry
Strong theoretical knowledge of NLP, ML, or Reinforcement Learning
Experience with NoSQL databases
Familiarity with architectural choices for ML systems
Leadership skills and solid network for team growth
What the job involves
Develop LLM-based agents specialized in extracting detailed information about Key Opinion Leaders (KOLs) in healthcare
Build an end-to-end pipeline to analyze unstructured websites and medical documents, enabling semantic searches for KOL data in various languages
Collaborate with software developers to deploy models for information extraction using cloud infrastructure, ensuring quality and scalability across different regions and specialties
Veeva Systems Inc. is committed to revolutionizing the life sciences industry by providing innovative cloud-based software solutions that accelerate the delivery of therapies to patients globally. With a focus on innovation, product excellence, and customer success, Veeva aims to make a positive impact on its customers, employees, and communities.