Join a fun, innovative engineering team within the AI & Data Science organization working on next-generation capabilities and services in Applied AI & Automation
Job Summary
Join a fun, innovative engineering team within the AI & Data Science organization working on next-generation capabilities and services in Applied AI & Automation.
Design, develop, and deploy scalable AI/ML systems with a strong emphasis on agentic automation, generative AI, and MLOps best practices.
Build and maintain full-stack AI applications, ensuring performance, scalability, and cost-efficiency.
Matching Summary
Join a fun, innovative engineering team within the AI & Data Science organization working on next-generation capabilities and services in Applied AI & Automation.
Skills & Requirements
Must-have
Agentic AI systems
LLMs, multi-agent orchestration
MLOps best practices
Python, ML frameworks
Cloud platforms (AWS, Azure, GCP)
Automation workflows (UiPath, Power Automate)
Nice-to-have
Vector databases, RAG
Responsible AI practices
SAP platforms, S4, BPA
Pharma and Biopharma industry experience
Key Requirements
Master's degree / Bachelor's degree and 5 to 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience
3+ years of experience in AI/ML system architecture and deployment
Hands-on experience with MLOps tools and AI model lifecycle management
Strong understanding of LLM-based architecture, prompt engineering, and fine-tuning techniques