Senior Machine Learning Engineer
Anheuser-Busch InBevMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessStrong global brand and metro hiring increase competition, but senior specialized role reduces applicant density.
Core ML skills transfer, but Azure/PySpark and deployment constraints add moderate domain specificity.
Multiple mandatory technical filters (PySpark, Azure, containerization, CI/CD) and senior title imply strict shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Own backend engineering strategy including repos, pipelines, and modular components for scalable integration with software applications and visualization layers
Lead deployment lifecycle from model training through deployment and monitoring on devices
Develop and maintain scalable ML pipeline for real-time analytics and experimentation with strong focus on CI/CD and observability
Minimum Requirements
Proficiency with PySpark is a must
Experience with containerization technologies such as Docker and Azure Container Registry (ACR)
Strong experience managing GitHub repositories and establishing CI/CD pipelines
Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
Experienced in building and deploying ML models in production environments with scalable backend architecture
Skilled in creating observability layers for monitoring data, features, inference, and pipeline health
Capable of collaborating closely with product and software teams to integrate backend and frontend systems