Lead AI Platform Engineer - MLOps Specialist

Placements24; Randburg; On-site; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary package

Comprehensive medical aid

Performance bonuses

Company pension fund

Job summary

Placements24 is seeking a Lead AI Platform Engineer with an MLOps focus to design, build, and scale the AI/ML platform in Randburg. You will own pipelines, monitoring, deployment automation, and collaboration with data science teams.

The ideal candidate brings 6+ years in software/DevOps with 3+ years in MLOps, strong scripting skills, and deep cloud/container experience. This role offers growth in a dynamic AI infrastructure environment.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 6+ years in software engineering or DevOps, with at least 3 years in MLOps or AI platform engineering.
• Proven experience building and managing CI/CD pipelines for ML models.
• Strong understanding of the ML lifecycle and MLOps principles.
• Proficiency in Python, Bash, or Go scripting.
• Experience with cloud platforms (AWS, Azure, GCP) and containers (Docker, Kubernetes).
• Familiarity with infrastructure as code tools (Terraform, Ansible).
• Knowledge of monitoring/logging tools (Prometheus, Grafana, ELK stack).
• Excellent problem-solving and proactive infrastructure mindset.
• Strong communication and collaboration skills.

Responsibilities

• Lead design, development, and maintenance of the AI/ML platform and MLOps infra.
• Build and manage CI/CD pipelines for ML models with version control.
• Implement monitoring, logging, and alerting for ML models in production.
• Automate model training, evaluation, and deployment processes.
• Collaborate with data scientists and AI engineers to meet infra needs.
• Ensure scalability, reliability, and security of the AI platform.
• Manage cloud infra related to ML workloads (AWS, Azure, GCP).
• Develop and enforce MLOps and AI system management best practices.
• Troubleshoot and resolve ML platform issues.

Skills

Problem solving

Communication

Collaboration

Scripting languages

Education

Bachelor's degree in Computer Science or related field

Tools

Python

Bash

Go

Docker

Kubernetes

Terraform

Ansible

Prometheus

Grafana

ELK stack

Job description

About the Role

Our client, a rapidly expanding AI solutions provider, is looking for a Lead AI Platform Engineer with a specialization in MLOps to join their dynamic engineering team in Randburg, Gauteng . This role is crucial for building, maintaining, and scaling the infrastructure that supports our client's AI and machine learning initiatives. You will be responsible for designing and implementing robust MLOps pipelines, ensuring efficient deployment, monitoring, and management of machine learning models in production. The ideal candidate will have a strong background in software engineering, DevOps practices, and a deep understanding of the machine learning lifecycle. Join our client in Randburg, Gauteng and play a key role in enabling the reliable and scalable delivery of AI-powered products.

Key Responsibilities

• Lead the design, development, and maintenance of the AI/ML platform and MLOps infrastructure.
• Build and manage CI/CD pipelines for machine learning models, ensuring smooth deployment and version control.
• Implement monitoring, logging, and alerting systems for ML models in production.
• Automate the process of model training, evaluation, and deployment.
• Collaborate with data scientists and AI engineers to understand their infrastructure needs and provide solutions.
• Ensure the scalability, reliability, and security of the AI platform.
• Manage cloud infrastructure (AWS, Azure, GCP) related to ML workloads.
• Develop and enforce best practices for MLOps and AI system management.
• Troubleshoot and resolve issues related to the ML platform and deployed models.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Minimum of 6 years of experience in software engineering or DevOps, with at least 3 years focused on MLOps or AI platform engineering.
• Proven experience in building and managing CI/CD pipelines for machine learning models.
• Strong understanding of the machine learning lifecycle and MLOps principles.
• Proficiency in scripting languages such as Python, Bash, or Go.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with infrastructure as code tools (e.g., Terraform, Ansible).
• Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• Excellent problem-solving skills and a proactive approach to infrastructure challenges.
• Strong communication and collaboration skills.

Benefits

• Our client offers a competitive salary package, with an annual remuneration of R , comprehensive medical aid, performance bonuses, and a company pension fund.
• This position in Randburg, Gauteng provides an excellent opportunity to work at the forefront of AI infrastructure development.
• You will benefit from continuous learning opportunities, access to advanced technologies, and a supportive team environment.
• Our client is committed to professional development and provides resources for training and conference attendance.