The Data Science – MLOps Engineer role collaborates with data scientists, analysts, and commercial operations to design, deploy, and manage machine learning systems that enhance sales effectiveness and engagement
Job Summary
The Data Science – MLOps Engineer role collaborates with data scientists, analysts, and commercial operations to design, deploy, and manage machine learning systems that enhance sales effectiveness and engagement.
This position is responsible for ensuring that models are reproducible, compliant, performant, and scalable throughout their lifecycle—from experimentation to production.
At AstraZeneca's Alexion division, we champion diversity and foster an energizing culture where new ideas thrive.
Matching Summary
The Data Science – MLOps Engineer role collaborates with data scientists, analysts, and commercial operations to design, deploy, and manage machine learning systems that enhance sales effectiveness and engagement.
Skills & Requirements
Must-have
Model Lifecycle Management
Data Pipeline Development
Production Operations
Monitoring & Observability
Model Governance & Compliance
Python, SQL, ML frameworks
CI/CD, Docker
Nice-to-have
Pharmaceutical commercial analytics
High-throughput inference
Incident management
Reusable pipelines
Teamwork and collaboration
Key Requirements
3-6+ years ML engineering or MLOps experience
Bachelor's or Master's degree in Computer Science, Data Science, or ML Engineering
Experience with ML frameworks and MLOps tools
Experience with CI/CD and containerization
Understanding of data privacy and security in healthcare