Possess over 5 years of experience developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services
Expertise in Machine Learning, Modeling, and Python development is required
Proficient in MLOps with experience in platforms such as MLflow, Kubeflow, or SageMaker
Capable of mentoring team members and working independently
Strong communication skills are essential
Desirables
GenAI expertise
LLMs expertise
Experience with AWS offerings including SageMaker
What the job involves
Work within a cross-functional application team to build scalable language services in the range of NLP, NLU, and NLG for live SaaS products
Contribute to the development and grooming of an experiment backlog
Design and implement models to solve real-world problems
Optimize models for production throughput and uptime requirements
Automate deployments, testing, and monitoring using cutting-edge MLOps techniques
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.