AI & Analytics AI Architect

New
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InfomineoAI and Data Advisory
Casablanca, Casablanca-Settat, MoroccoContractSenior
Salary not disclosed
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Job Details

Languages
Full proficiency in English + 1 additional language (French, Arabic, Spanish, German...)
Experience
6+ years
Required Skills
DockerPythonSQLKubernetesData engineeringSparkMLOpsGenerative AI

Requirements

  • Master’s degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, or a related field.
  • 6+ years of technical experience in data architecture or a closely related field.
  • Proven track record in a consulting or multi-client services environment.
  • Full proficiency in English plus at least one additional language (French, Arabic, Spanish, German).
  • Hands-on experience with large-scale data platforms like Databricks, Snowflake, BigQuery, or Azure Synapse.
  • Strong command of SQL and at least one programming language (Python, Scala, or Spark).
  • Experience with Big Data ecosystems (Hadoop, Spark, Hive) and streaming architectures (Kafka, Flink).
  • Proven experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Azure ML).
  • Experience architecting MLOps pipelines including CI/CD for ML and drift detection.
  • Experience with GenAI and LLM integration patterns such as RAG and vector databases.
  • Proven experience with orchestration and transformation tools like Airflow or dbt.
  • Hands-on experience with Docker, Kubernetes, Git, and cloud ecosystems (AWS, Azure, GCP).

Responsibilities

  • Lead the technical architecture of Data, Analytics and AI solutions for clients through the full lifecycle.
  • Design end-to-end data architectures including data lakes, lakehouses, warehouses, and streaming pipelines.
  • Architect MLOps and AI deployment infrastructure, including CI/CD for ML and monitoring.
  • Define best practices and reusable frameworks for data engineers, analysts, and data scientists.
  • Lead architecture workshops and discovery sessions with client stakeholders.
  • Present architecture decisions to both technical teams and executive audiences.
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