AI Specialist - Data Engineering & ML Operations

Our client, a leader in AI & Emerging Technologies , is seeking an experienced AI Specialist with a strong focus on Data Engineering and ML Operations (MLOps) to join their dynamic team in East London, Eastern Cape . This critical role involves building and maintaining robust data pipelines, implementing MLOps best practices, and ensuring the seamless deployment and management of AI/ML models in production.

You will be instrumental in enabling our data science and engineering teams to develop and deploy models efficiently and s is an exciting opportunity to work with cutting‑edge technologies, contribute to impactful AI initiatives, and grow your career in a supportive and innovative environment. The ideal candidate will possess a strong understanding of data engineering principles, MLOps methodologies, and cloud infrastructure, coupled with excellent problem‑solving skills.

• Design, build, and maintain scalable and reliable data pipelines for AI/ML applications.
• Implement and manage MLOps processes for model deployment, monitoring, and lifecycle management.
• Develop and automate CI/CD workflows for machine learning models.
• Manage and optimize cloud infrastructure for AI/ML workloads (e.g., AWS, Azure, GCP).
• Ensure data quality, integrity, and accessibility for data science teams.
• Collaborate with data scientists and software engineers to product ionize machine learning models.
• Monitor deployed models for performance, drift, and anomalies, implementing necessary retraining or adjustments.
• Implement and manage infrastructure for model training and serving.
• Contribute to the development of data governance and security policies.
• Stay up‑to‑date with the latest tools and best practices in data engineering and MLOps.

• Bachelor's degree in Computer Science, Engineering, or a related field;
  Master's degree is a plus.
• Proven experience in data engineering, MLOps, or a related role within an AI/ML context.
• Strong proficiency in programming languages such as Python.
• Experience with cloud platforms (AWS, Azure, GCP) and their data/ML services.
• Hands‑on experience with containerization technologies like Docker and orchestration tools like Kubernetes.
• Familiarity with ML frameworks (e.g., Tensor Flow, PyTorch, Scikit-learn) and MLOps tools (e.g., MLflow, Kubeflow).
• Solid understanding of database technologies (SQL/No
  
  SQL) and data warehousing concepts.
• Experience with data pipeline orchestration tools (e.g., Airflow).
• Excellent problem‑solving, analytical, and troubleshooting skills.
• Strong communication and collaboration abilities.

Our client offers a competitive salary, commensurate with experience, and a comprehensive benefits package including health, retirement, and performance bonuses. We provide a stimulating and collaborative work environment in East London, Eastern Cape , with access to advanced tools and technologies. Opportunities for continuous learning and professional development, including training and conference attendance, are provided. We foster a healthy work‑life balance with flexible working arrangements and generous paid time off.

Join a team at the forefront of AI innovation, where your expertise in data engineering and MLOps will be crucial to our success.