Senior AI Engineer - MLOps

Our client is seeking a seasoned Senior AI Engineer with a specialization in MLOps to join their dynamic team in Mahikeng , North West. This role is pivotal in building, deploying, and maintaining robust machine learning systems that leverage cutting-edge AI & Emerging Technologies . You will be responsible for establishing and optimizing the entire ML lifecycle, from data pipelines to model deployment and monitoring.

The position offers a hybrid work arrangement , combining the benefits of on-site collaboration with the flexibility of remote work. You will play a key role in ensuring the reliability, scalability, and efficiency of our client's AI solutions.

• Design, implement, and manage end-to-end MLOps pipelines for machine learning models.
• Develop and maintain infrastructure for model training, deployment, and monitoring.
• Automate ML workflows, including data validation, model retraining, and A/B testing.
• Collaborate with data scientists and software engineers to ensure seamless integration of ML models into production.
• Implement strategies for model versioning, rollback, and performance tracking.
• Ensure the scalability, reliability, and security of ML systems in a production environment.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in software engineering, with a strong focus on MLOps and AI/ML systems.
• Proficiency in Python and experience with containerization technologies (e.g., Docker, Kubernetes).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Solid understanding of machine learning concepts and the ML lifecycle.
• Experience with CI/CD tools and practices for ML model deployment.
• Ability to thrive in a hybrid work environment in Mahikeng .

• Highly competitive salary and performance bonus structure.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and retirement savings plan.
• Opportunities for continuous learning and professional development.
• A collaborative and innovative team culture focused on AI advancements.