Remote Senior AI Engineer (MLOps)

Placements24; Randburg; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary and stock options

Job summary

Placements24 is seeking a Senior AI Engineer with a specialization in MLOps to join our fully remote team. You will design and maintain scalable ML pipelines, deploy models to production, and monitor performance across cloud environments.

You will collaborate with data scientists, implement IaC with Terraform, and build CI/CD pipelines for ML workflows. Strong Python, Docker, Kubernetes, and cloud experience are required.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in software engineering or DevOps, with a strong focus on MLOps or AI infrastructure.
• Proven experience building and managing end-to-end MLOps pipelines.
• Proficiency in at least one major cloud platform (AWS, Azure, GCP) and their ML services.
• Strong experience with Docker and Kubernetes.
• Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions).
• Proficiency in Python and shell scripting.
• Terraform or similar IaC tools.

Responsibilities

• Design, build, and maintain scalable MLOps pipelines for model development, training, deployment, and monitoring.
• Implement IaC solutions for cloud-based ML environments (e.g., Terraform, Ansible).
• Develop and manage CI/CD pipelines for ML workflows.
• Set up monitoring and alerting for production ML models, tracking drift and performance.
• Automate model retraining and deployment processes.
• Collaborate with data scientists to optimize models for production.
• Containerize ML apps with Docker and orchestrate with Kubernetes.
• Ensure security best practices across MLOps infrastructure.
• Troubleshoot ML system performance and reliability.

Job description

About the Role

Our client is a fast-growing AI startup dedicated to building scalable and efficient machine learning systems. We are seeking a highly skilled Senior AI Engineer with a specialization in MLOps to join our fully remote team. This role is critical for establishing and maintaining the infrastructure and processes required to deploy, monitor, and manage machine learning models in production. You will work with state-of-the-art tools and technologies to ensure the reliability, scalability, and performance of our AI solutions. This is an excellent opportunity to contribute to a groundbreaking company from the comfort of your home office, collaborating with a diverse and talented global team. The focus is on building robust, automated pipelines for the entire ML lifecycle, supporting our ambitious growth plans.

Key Responsibilities

• Design, build, and maintain scalable and automated MLOps pipelines for machine learning model development, training, deployment, and monitoring.
• Implement infrastructure as code (IaC) solutions for managing cloud-based ML environments (e.g., using Terraform, Ansible).
• Develop and manage CI/CD pipelines tailored for machine learning workflows.
• Implement robust monitoring and alerting systems for ML models in production, tracking performance, drift, and anomalies.
• Automate model retraining and deployment processes to ensure models stay up-to-date and performant.
• Collaborate closely with data scientists and AI researchers to optimize models for production environments.
• Containerize ML applications using Docker and orchestrate them using Kubernetes or similar platforms.
• Ensure security best practices are implemented across the MLOps infrastructure.
• Troubleshoot and resolve issues related to ML system performance and reliability.
• Contribute to the development of best practices and standards for MLOps within the organization.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in software engineering or DevOps, with a strong focus on MLOps or AI infrastructure.
• Proven experience building and managing end-to-end MLOps pipelines.
• Proficiency in at least one major cloud platform (AWS, Azure, GCP) and their associated ML services.
• Strong experience with containerization technologies (Docker) and orchestration tools (Kubernetes).
• Expertise in CI/CD tools and methodologies (e.g., Jenkins, GitLab CI, GitHub Actions).
• Proficiency in scripting languages like Python and shell scripting.
• Experience with infrastructure as code tools (e.g., Terraform, CloudFormation).
• Solid understanding of machine learning concepts and workflows.
• Excellent problem-solving skills and ability to work independently in a remote setting.

Benefits

• Our client offers a highly competitive salary and benefits package, including comprehensive health insurance, performance bonuses, and a generous stock option plan.
• As a fully remote position, you will enjoy the flexibility and autonomy to work from anywhere.
• We provide a dedicated budget for professional development, including access to online courses, certifications, and virtual conferences.

Join our innovative, remote-first team and play a key role in building the future of AI infrastructure.