Senior AI Engineer – Lead Enterprise ML & MLOps

MCI; Gauteng; On-site; ZAR 1,200,000 - 1,800,000; Full time

Job summary

MCI is seeking a highly experienced Senior AI / Machine Learning Engineer to lead the design, development, and deployment of advanced AI and ML solutions that drive innovation and business transformation. You will collaborate with data scientists, engineers, product teams, and business leaders to deliver enterprise-grade AI solutions.

The role combines deep technical leadership with hands-on implementation, including building scalable ML architectures, MLOps, data governance, and ensuring

Qualifications

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or related field.
• Minimum 5 years of software engineering, machine learning, or AI development experience.
• Strong expertise in machine learning algorithms, model development, and deployment.
• Advanced proficiency in Python and machine learning frameworks.
• Experience building enterprise-scale AI solutions.
• Strong understanding of statistical analysis and predictive modeling.
• Experience deploying machine learning models into production environments.
• Knowledge of cloud computing and distributed systems.
• Experience mentoring technical teams and leading projects.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder engagement abilities.
• Experience working in Agile software development environments.

Responsibilities

• Lead the design and implementation of machine learning solutions addressing complex business challenges.
• Architect scalable machine learning systems and frameworks.
• Develop, train, and optimize predictive and AI-driven models.
• Establish model development standards and best practices.
• Drive technical decision-making across AI initiatives.
• Ensure ML solutions are production-ready and operationally efficient.
• Design deployment strategies for ML models.
• Support MLOps practices and model lifecycle management.
• Monitor model performance and address drift or degradation.
• Optimize infrastructure and deployment pipelines.
• Drive data quality and collaboration with data engineering on architecture.
• Improve feature engineering and model training processes.
• Ensure data quality, consistency, and governance standards.
• Support scalable data processing frameworks.
• Promote responsible and secure AI development practices.
• Implement model validation and testing frameworks.
• Ensure compliance with regulatory and governance requirements.
• Support AI risk management initiatives.
• Maintain documentation and technical standards.
• Provide technical leadership and contribute to organizational AI strategy.
• Mentor engineers and ML practitioners.
• Evaluate emerging AI technologies.
• Lead proof-of-concept and innovation initiatives.
• Support AI transformation and modernization efforts.

Skills

ML algorithms

Model development

Python

Enterprise AI

Statistical analysis

Production deployment

Cloud computing

Mentoring

Analytical skills

Communication

Agile

Education

Bachelor's degree in Computer Science / Data Science / AI / Math / Stats / Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

XGBoost

MLOps / CI/CD

NLP

Computer Vision

Recommendation systems

Job description

MCI is seeking a highly experienced Senior AI / Machine Learning Engineer to lead the design, development, and deployment of advanced AI and ML solutions that drive innovation and business transformation. You will collaborate with data scientists, engineers, product teams, and business leaders to deliver enterprise-grade AI solutions.

The role combines deep technical leadership with hands-on implementation, including building scalable ML architectures, MLOps, data governance, and ensuring