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AI & Analytics Architect - Freelance

Infomineo · Casablanca-Settat

Nouveau
Senior 🇬🇧 English
SQL Python Scala Spark Hadoop Kafka Flink MLflow Kubeflow SageMaker Azure ML Airflow dbt Docker Kubernetes Git AWS Azure Google Cloud Power BI Tableau Looker Databricks Snowflake BigQuery Azure Synapse Redshift

Description du poste

About the role

Infomineo, a global AI-enhanced research company, is looking for a freelance AI & Analytics Architect in Casablanca. You will design and shape the technical foundation of its Analytics & AI practice, working on high-impact client engagements across industries at the intersection of data engineering, analytics, data science and AI.

Key responsibilities

  • Design end-to-end data architectures (data lakes, lakehouses, warehouses, streaming pipelines) and set standards for data modeling, storage, ingestion and transformation.
  • Architect MLOps and AI deployment infrastructure (model registries, CI/CD for ML, monitoring).
  • Lead technical decisions on cloud platforms (Azure, AWS, GCP) and open-source tooling.
  • Define best practices and reusable frameworks for data engineers, analysts and data scientists, and mentor and review project teams.
  • Bridge the gap between data analysts, data engineers and AI/ML engineers.
  • Run architecture workshops and discovery sessions with clients, turn business requirements into technical blueprints, present architecture decisions to executives and support pre-sales proposals.
  • Contribute to internal knowledge bases and toolkits, train the team and support the Head of Practice on business development.

Required profile

  • Master's degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics or a related field.
  • Full proficiency in French and English.
  • 6+ years of technical experience in data architecture or a closely related field.
  • Proven track record in a consulting or multi-client services environment.

Required skills

  • Data platforms: Databricks, Snowflake, BigQuery, Azure Synapse, Redshift; SQL, Python, Scala or Spark; Hadoop, Kafka, Flink, Spark Streaming.
  • ML infrastructure: MLflow, Kubeflow, SageMaker, Azure ML, MLOps pipelines, GenAI and RAG patterns.
  • Data engineering: Airflow, dbt, Docker, Kubernetes, Git, GitHub, GitLab, AWS, Azure, Google Cloud.
  • Data governance and BI: data catalogs, lineage, Power BI, Tableau, Looker.

What we offer

  • A competitive salary.
  • A great working environment and a steep learning curve.
  • A healthy work-life balance.

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Infomineo

Casablanca-Settat