osition Summary
Our client is seeking a passionate Azure AI/MLOps Engineer to build data platforms and pipelines that enable advanced analytics. This role focuses on operationalizing machine learning models and integrating them into production systems to improve outcomes and efficiency.
Key Responsibilities
Design, build, and deploy AI/ML applications using Azure technologies (Azure ML, Cognitive Services, Bot Services)
Develop and manage machine learning pipelines and workflows
Automate deployment, monitoring, and updates of ML models
Collaborate with data scientists and engineers to operationalize models
Implement NLP, recommendation systems, image recognition, and chatbot solutions
Build CI/CD pipelines for ML (data, code, models)
Ensure performance, scalability, security, and compliance of ML systems
Required Qualifications
Bachelor's degree in Information Systems or related field
3 6 years of experience in ML projects (with 18+ months in MLOps)
Strong programming skills (Python, Java, or Scala)
Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
Experience with Azure cloud platform
Familiarity with Docker and Kubernetes
Experience with ML deployment tools (MLflow, Kubeflow)