Drive AI initiatives that improve operational performance, accelerate commercial growth, and enhance clinical workflows and outcomes through data-driven solutions
Job Summary
Drive AI initiatives that improve operational performance, accelerate commercial growth, and enhance clinical workflows and outcomes through data-driven solutions.
Define end-to-end solution architectures across classical ML, deep learning, optimization, and GenAI, making technology choices based on business value.
Act as a trusted advisor and technical authority, influencing without formal authority, aligning cross-functional teams, and ensuring disciplined prioritization of AI investments.
Matching Summary
Drive AI initiatives that improve operational performance, accelerate commercial growth, and enhance clinical workflows and outcomes through data-driven solutions.
Skills & Requirements
Must-have
classical machine learning
deep learning
GenAI and Agent-based AI
production-grade AI solutions
MLOps practices
enterprise-scale AI initiatives
Nice-to-have
business-oriented technical lead
influencing without formal authority
cross-disciplinary collaboration
ethical innovation
Key Requirements
10+ years of experience in Data Science, AI, or Advanced Analytics
Master’s or PhD degree in a quantitative field
Proven ability to drive measurable business impact
Experience with modern cloud platforms (Azure, AWS, or GCP)