
Cloud-Based AI Development Engineer
3 days ago
We need a seasoned AI & MLOps Engineer to collaborate with our team to develop and deploy AI/ML applications that drive business value.
Job Responsibilities:
- Design and implement predictive and generative AI models using Azure cloud services
- Develop and maintain scalable pipelines using Docker and Azure
- Integrate complex datasets across SQL, vector, and graph databases
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
Preferred Qualifications:
- 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
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