AI/ML Platform Engineer

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Fully remote work environment

Professional development budget

Competitive salary and benefits

Job summary

Placements24 is seeking a talented AI/ML Platform Engineer to join its technology team in a fully remote role. You will build scalable AI infrastructure, develop MLOps pipelines, and optimize distributed training and inference environments for performance and cost efficiency.

You will collaborate with data scientists, implement monitoring, and help select new tools while supporting a global development effort from Port Elizabeth to the world.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 4+ years of software engineering experience with platform, DevOps or MLOps focus.
• Experience with cloud platforms (AWS, Azure, GCP) and containers (Docker, Kubernetes).
• Familiarity with ML concepts and frameworks (TensorFlow, PyTorch).

Responsibilities

• Design, build, and maintain scalable AI/ML infrastructure and MLOps pipelines.
• Develop and automate data ingestion, model training, deployment, and monitoring workflows.
• Optimize distributed training and inference for performance and cost efficiency.
• Collaborate with data scientists to understand infrastructure needs and provide solutions.
• Implement monitoring, logging, and alerting for AI/ML services and platforms.

Skills

Platform engineering

DevOps

MLOps

Cloud computing

Education

Bachelor's degree in Computer Science

Master's degree in related field

Tools

Docker

Kubernetes

CI/CD pipelines

Python

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a talented and motivated AI/ML Platform Engineer to join their growing technology team, offering a fully remote work arrangement. This role is essential for building and maintaining the scalable infrastructure that powers our advanced AI and machine learning initiatives. You will be responsible for developing robust MLOps pipelines, optimizing distributed training systems, and ensuring the reliability and performance of our AI development environment. This is an exciting opportunity to work with cutting-edge technologies and contribute to the core infrastructure enabling breakthroughs in artificial intelligence, supporting a talented team from across the globe.

Key Responsibilities

• Design, build, and maintain scalable and reliable AI/ML infrastructure and MLOps pipelines.
• Develop and automate workflows for data ingestion, model training, deployment, and monitoring.
• Optimize distributed training and inference systems for performance and cost-efficiency.
• Collaborate with data scientists and ML engineers to understand their infrastructure needs and provide solutions.
• Implement robust monitoring, logging, and alerting for AI/ML services and platforms.
• Contribute to the selection and evaluation of new technologies and tools for the AI/ML platform.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in software engineering, with a focus on platform engineering, DevOps, or MLOps.
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience with CI/CD tools and practices, and scripting languages (e.g., Python, Bash).
• Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of distributed systems, networking, and infrastructure-as-code.

Benefits

• Competitive salary and comprehensive benefits package.
• Fully remote work environment with flexibility and support.
• Opportunity to work with innovative AI technologies and a talented team.
• Generous professional development budget for training and conferences.
• Contribute directly to the core infrastructure that drives AI advancements in Port Elizabeth .