
AI & MLOps Engineer
2 days ago
We are seeking a highly skilled Azure Certified AI & MLOps Engineer to join our team. The ideal candidate will have deep expertise in AI/ML use case development, MLOps, and cloud-based deployments.
">Must-Have Skills:
- 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
- Experience with Azure cloud services (Azure Databricks, Azure ML, Microsoft Fabric)
- Knowledge of graph databases (Neo4j) and vector databases for ML use cases
- Proven track record of deploying AI/ML solutions in real estate or construction industries
Good-to-Have 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
- Familiarity with CI/CD pipelines and infrastructure-as-code tools
Qualifications & Experience:
- 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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