
Job description
We are looking for an AI Engineer with strong experience in Machine Learning Operations (MLOps) to design, deploy, monitor, and maintain machine learning and AI models in production environments.
Build and maintain ML pipelines for training, testing, and deployment, deploy machine learning and AI models into production environments, manage model lifecycle, automate workflows using CI/CD for ML models, and monitor model performance, drift, and data quality.
Candidate should have experience in some of the following MLOps tools: MLflow, Kubeflow, Airflow, DVC, Weights & Biases, SageMaker, Azure ML, Vertex AI, Docker, Kubernetes, Terraform.
Company

Corporate Services • Tech, Software & IT Services • Education
KATBOTZ is a business consulting and technology innovation firm specializing in enterprise transformation through SAP solutions. They deliver end-to-end project delivery, focusing on areas like finance transformation, data integration, and M&A advisory to drive growth and improve performance for organizations across Life Sciences, High Tech, Consumer Goods, and Manufacturing. KATBOTZ distinguishes itself by combining strategic consulting with technical expertise in SAP S/4HANA, analytics, and AI to create connected ecosystems and empower teams. They offer a comprehensive suite of services including business process optimization, talent solutions, and capability building, enabling clients to modernize systems, strengthen financial controls, and achieve lasting operational improvements.
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KATBOTZ

KLA

Everience

Nexthire
Master-Works

Imagine Art