
Azure Certified AI
3 days ago
We're looking for an experienced AI & MLOps Engineer to help us design predictive and generative AI models, manage scalable pipelines using Docker and Azure, and integrate complex datasets across SQL, vector, and graph databases.
About the Role:
- Create impactful AI-driven solutions that streamline processes and enhance decision-making
- Work closely with business stakeholders to deliver high-quality results
- Design, develop, and deploy AI/ML applications using Azure cloud services
Key Requirements:
- Azure AI Engineer Associate certification
- Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Strong hands-on experience in MLOps pipelines using MLflow, Kubeflow, or TFX
- Expertise in Docker for containerization and orchestration of AI/ML applications
- Advanced SQL skills for querying and managing structured datasets
Desirable Skills:
- Databricks Certification (e.g., Databricks Certified Machine Learning Professional)
- Additional certifications in Machine Learning, Deep Learning, or Generative AI
- Docker Certified Associate (DCA)
- Experience integrating industry-specific datasets with external APIs and Azure services
What We're Looking For:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Minimum 4+ years of experience in AI/ML engineering with focus on MLOps and Azure ecosystem
- Strong collaboration skills for working with business and IT stakeholders
- Demonstrated experience in AI-driven applications such as chatbots, demand forecasting, property valuation, and risk assessment
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