AI/ML Engineer

•• Knowledge of Regulatory data, content and terminology used in Pharmaceutical development
• 5+ years of experience as a Solution Architect in pharmaceutical development
• 5+ years of experience in integration design and operationalization (REST APIs, Kafka, ETL, data pipeline design, API gateways, data streaming)
• 5 years of experience working with structured RDBMS and content management platforms
• Experience architecting regulated systems (GxP, HPIAA, GDPR, etc)
• 2-3 years of experience architecting digital automation solutions using BPM, RPA, NLP and ML
• Knowledge and skills in compute, networking, storage, database and AWS machine learning services as well as AWS deployment and management services.
• Experience leading technical conversations, workshops and works to remove ambiguity, drive consensus and reach decisions across stakeholders
• Proven ability to understand and articulate business requirements, direction, and initiatives.
• Experience surfacing technical requirements and building IT product roadmaps
AWS-Certified Solutions Architect certification required
• AWS Well-Architected Framework certification desirable
• AWS Certified Machine Learning Specialty certification desirable