Platform Engineer (Machine Learning)

SUMMARY:
Seeking a strong Platform Engineer to help design and operate cloud platforms, machine learning infrastructure, evaluation systems, and developer environments. The primary focus of this role is building a machine learning competition and evaluation platform where participants submit ML projects that are executed and scored in secure, GPU-enabled runtime environments. This role sits at the intersection of cloud infrastructure, developer platforms, automation, ML/GPU compute, and distributed systems. You will work on projects such as ML competition and evaluation platforms, GPU-based compute environments, Dockerized and sandboxed runtime environments, secure multi-tenant cloud infrastructure, model evaluation and benchmarking systems, infrastructure automation and provisioning, internal developer tooling and orchestration systems, and CI/CD and deployment automation. There may also be opportunities to contribute to internal R&D around AI inference and LLM infrastructure.

POSITION INFO:
Key Responsibilities: Design and maintain cloud infrastructure primarily on AWS. Build reusable platform tooling and automation systems used by other engineers. Provision and manage infrastructure using Terraform\/OpenTofu. Configure and maintain Docker-based environments and containerized workloads. Develop Python automation and orchestration scripts. Build and operate GPU-enabled compute environments for machine learning workloads, including sandboxed runtime environments for user-submitted code. Build and improve CI\/CD workflows for efficient software delivery. Monitor, troubleshoot, and optimize infrastructure reliability and performance. Improve developer workflows, internal tooling, and platform usability. Contribute to architecture and operational decisions across projects. Ensure security best practices are followed throughout the platform lifecycle. Stay up-to-date with the latest cloud, ML infrastructure, and platform engineering trends. Job Experience and Skills Required: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience). 5 years of hands-on experience operating production cloud infrastructure (mid to senior level). Strong experience with Linux systems administration. Strong experience with Docker and containerized environments. Strong experience with AWS or similar cloud platforms. Strong experience with Terraform or other infrastructure-as-code tooling. Proficiency in Python scripting and automation. Proficiency with Git and GitHub workflows. Apply now! For more exciting IT vacancies, please visit: I also specialise in recruiting in the following: Software Developers Mobile Developers Business and Systems Analysts BI and SQL Experts If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles \/ positions. For more information, contact: Lameez Mohamed Specialist Recruitment Consultant Connect with me on LinkedIn!