Note: The job is a remote job and is open to candidates in USA. Dice 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.
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
Skills
- 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)
Company Overview
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