This role involves leading the design and implementation of robust, scalable AWS cloud infrastructure to empower the data science team
Job Summary
This role involves leading the design and implementation of robust, scalable AWS cloud infrastructure to empower the data science team.
The successful candidate will drive architectural decisions for large-scale ML workloads while ensuring efficient model integration through CI/CD pipelines.
Easygo offers a vibrant office environment with perks including daily breakfast, unlimited snacks, on-site massage Wednesdays, and access to over 9,000 learning courses.
Matching Summary
This role involves leading the design and implementation of robust, scalable AWS cloud infrastructure to empower the data science team.
Salary
Lucrative annual bonuses; Benefits: Not specified
Skills & Requirements
Must-have
5+ years MLOps or DevOps experience
Expert proficiency in Terraform
Deep hands-on AWS cloud experience
Building CI/CD pipelines for ML workloads
Proficiency with Docker and Kubernetes
Advanced Python scripting skills
Nice-to-have
Experience within iGaming industry
Petabyte-scale data volume experience
Distributed computing with Spark and Hadoop
Familiarity with monitoring platforms
Knowledge of data security and compliance
Key Requirements
Bachelor's degree in Computer Science or Engineering
5+ years experience in MLOps, DevOps, or Data Engineering