Machine Learning Operations (MLOps) Engineer

About the Role

Our client is seeking a highly skilled Machine Learning Operations (MLOps) Engineer to join their dynamic team in Port Elizabeth . This role is critical for bridging the gap between machine learning development and production deployment, ensuring that ML models are built, deployed, and maintained efficiently and reliably. You will be responsible for building and managing the infrastructure and processes that support the ML lifecycle. This is a fantastic opportunity for an engineer passionate about automation, scalability, and operational excellence in the field of artificial intelligence.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for machine learning models.
• Develop and manage infrastructure for training, deploying, and monitoring ML models at scale.
• Automate ML workflows, including data ingestion, feature engineering, model training, and evaluation.
• Implement robust monitoring, logging, and alerting systems for ML model performance and health.
• Collaborate with data scientists and software engineers to ensure smooth integration and operation of ML solutions.
• Troubleshoot and resolve issues related to the ML production environment.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in software engineering or DevOps, with a focus on MLOps.
• Proficiency in scripting languages (e.g., Python, Bash) and infrastructure-as-code tools (e.g., Terraform, Ansible).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with ML frameworks and libraries.
• Strong understanding of CI/CD principles and practices.

Benefits

• Competitive salary and a comprehensive benefits package.
• Opportunities for career advancement and specialized training in MLOps.
• A collaborative team environment focused on innovation and continuous improvement.
• Work on cutting-edge AI projects in the Port Elizabeth area.
• On-site position offering a stable and engaging work experience.

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