Job SummaryWe are seeking an Azure Certified AI & MLOps Engineer with deep expertise in AI/ML use case development, MLOps, and cloud-based deployments, especially within the real estate and construction domains. The ideal candidate will be adept at designing predictive and generative AI models, managing scalable pipelines using Docker and Azure, and integrating complex datasets across SQL, vector, and graph databases. You will work closely with business stakeholders to deliver impactful AI-driven solutions that streamline processes and enhance decision-making.
Must Have Skills (Mandatory)* 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 (Optional)* 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