AI & MLOps Engineering Lead for Real Estate and Construction

1 week ago

Hyderabad City Taluka, Pakistan beBee Careers Full time
Unlock the Power of AI in Real Estate and Construction

We are seeking an experienced Azure Certified AI & MLOps Engineer with a deep understanding of AI/ML use case development, MLOps, and cloud-based deployments. The ideal candidate will be proficient in designing predictive and generative AI models, managing scalable pipelines using Docker and Azure, and integrating complex datasets across SQL, vector, and graph databases.

Key Responsibilities:
  • Design and develop AI/ML solutions for real estate and construction industries.
  • Develop and deploy MLOps pipelines using MLflow, Kubeflow, or TFX.
  • Collaborate with business stakeholders to deliver impactful AI-driven solutions that streamline processes and enhance decision-making.

Requirements:

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.

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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