AI & Analytics - AI Architect - Freelance - Casablanca

Tasks

• Architect MLOps and AI deployment infrastructure
• Conduct architecture workshops and discovery sessions
• Define best practices and reusable frameworks
• Define standards for data modeling storage ingestion and transformation
• Deliver internal training and knowledge sharing
• Design end-to-end data architectures
• Lead technical architecture of data analytics and AI solutions
• Lead technical decisions on cloud platforms
• Present architecture decisions to technical and executive audiences
• Provide technical mentoring and code review
• Support pre sales solution scoping and technical proposals
• Translate business requirements into technical blueprints

Perks/Benefits

• Health insurance
• Learning opportunities
• Work-life balance

Skills/Tech-stack

AWS | Access Control | Airflow | Amazon SageMaker | Apache Flink | Apache Hadoop | Apache Hive | Apache Spark | Azure Machine Learning | CI/CD | CI/CD for ML | DBT | Data Architecture | Data Catalog | Data Governance | Data Ingestion | Data Lake | Data Lineage | Data Modeling | Data Quality | Data Transformation | Data Warehouse | Docker | Drift Detection | Git | GitHub | GitLab | Google Cloud | Kafka | Kubeflow | Kubernetes | Lakehouse | Looker | MLOps | MLflow | Machine Learning | Microsoft Azure | Model versioning | Monitoring | Power BI | Prompt engineering | PySpark | Python | RAG | SQL | Scala | Spark Streaming | Tableau | Vector Databases