In this role, you will lead a team of developers and build and maintain our machine learning infrastructure and deployment pipelines. This role combines technical expertise in machine learning operations with strong leadership abilities to guide our team of engineers in delivering scalable ML solutions.
A day in the life and how youll make an impact:
Build, recruit, and lead a team of backend engineers.
Architect and implement enterprise-scale MLOps infrastructure
Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
Design and optimize model-serving architectures
Ensure high availability and scalability of ML systems
Collaborate with Algorithm Engineers to deliver innovative solutions.
Partner with product teams to align ML solutions with business objectives
Communicate technical plans and progress to stakeholders
Establish and enforce MLOps standards and best practices
BSc in Computer Science or industry equivalent.
Backend engineer with at least 7 years of experience
Proven track record of leading technical teams for 3+ years
Proficiency in Python and common ML frameworks.
Proven track record of leading technical teams
Excellent communication and interpersonal skills
Strong background in software engineering
Experience with cloud platforms (AWS/GCP)
