Senior AI Engineer - Machine Learning Operations (MLOps)

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision insurance

Generous annual leave

Professional certifications and培训

Retirement savings plan

Flexible hybrid work arrangement in N

Opportunities to work with cutting‑age

Collaborative and innovative work环境

Job summary

Placements24 seeks a Senior AI Engineer with strong MLOps expertise to join our client in Nelspruit, Mpumalanga. The role is hybrid, focusing on deploying and scaling ML models with robust pipelines and CI/CD practices.

You will collaborate with data scientists and software engineers to optimize production-ready models, manage ML infrastructure, and ensure secure, cost-efficient operations across cloud platforms.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 4+ years in software engineering or DevOps with focus on MLOps.
• Proven experience building and managing MLOps pipelines.
• Proficiency in Python.
• Experience with cloud ML services on AWS/Azure/GCP.
• Solid understanding of ML concepts and workflows.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI).
• Knowledge of IaC tools like Terraform/Ansible is a plus.

Responsibilities

• Design, build, and maintain scalable MLOps pipelines for deployment, training, and monitoring.
• Implement CI/CD practices for ML models.
• Collaborate with data scientists to optimize models for production.
• Develop infrastructure for ML model serving and inference.
• Implement monitoring and alerting for ML models in production.
• Automate data validation, feature engineering, and retraining processes.
• Ensure security, scalability, and cost-efficiency of ML infrastructure.
• Work with cloud platforms (AWS, Azure, GCP) and containers (Docker, Kubernetes).
• Troubleshoot deployment and performance issues.
• Stay current with MLOps best practices and emerging technologies.

Skills

MLOps

Python

CI/CD

Docker

Kubernetes

Cloud platforms

Terraform/Ansible

Collaboration

Hybrid work

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

GitHub Actions

Jenkins

GitLab CI

Job description

About the Role

Our client is a dynamic tech company at the cutting edge of AI innovation and is seeking a Senior AI Engineer with expertise in Machine Learning Operations (MLOps) to join their team in Nelspruit, Mpumalanga. This hybrid role is critical for ensuring the seamless deployment, management, and scaling of machine learning models in production. You will be responsible for building and maintaining robust MLOps pipelines, automating workflows, and collaborating with data scientists and software engineers to bring AI solutions to life efficiently and reliably. This position requires a strong background in both software engineering and machine learning principles, with a deep understanding of cloud infrastructure and CI/CD practices. You will play a key role in optimizing the ML lifecycle, improving model performance, and ensuring the operational excellence of our AI systems. This is an excellent opportunity to contribute to impactful projects and advance your career in a growing field.

Key Responsibilities

• Design, build, and maintain scalable and reliable MLOps pipelines for automated ML model deployment, training, and monitoring.
• Implement CI/CD practices for machine learning models.
• Collaborate with data scientists to optimize models for production environments.
• Develop and manage infrastructure for ML model serving and inference.
• Implement monitoring and alerting systems for ML models in production.
• Automate data validation, feature engineering, and model retraining processes.
• Ensure the security, scalability, and cost-effectiveness of ML infrastructure.
• Work with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Troubleshoot and resolve issues related to ML model deployment and performance.
• Stay current with MLOps best practices and emerging technologies.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in software engineering or DevOps, with a strong focus on MLOps.
• Proven experience building and managing MLOps pipelines.
• Proficiency in programming languages such as Python.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Solid understanding of machine learning concepts and workflows.
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Knowledge of infrastructure as code tools (e.g., Terraform, Ansible) is a plus.
• Strong problem-solving and debugging skills.
• Excellent communication and collaboration abilities in a hybrid work setting.

Benefits

• Competitive salary and performance incentives.
• Comprehensive health, dental, and vision insurance.
• Generous annual leave and paid holidays.
• Opportunities for professional certifications and training.
• Retirement savings plan.
• Flexible hybrid work arrangement in Nelspruit.
• Opportunity to work with cutting-edge AI technologies.
• Collaborative and innovative work environment.