Senior Software Engineer

il y a 1 jour

Rabat, Rabat-Salé-Kénitra, Maroc AVL Temps plein 120 000  - 240 000  par an

Job Description

  • Build and optimize ETL/ELT pipelines on Databricks using PySpark and Delta Lake, ensuring both performance and scalability.
  • Develop, train, and deploy machine learning and deep learning models (TensorFlow, PyTorch) into production environments.
  • Apply MLOps best practices, including MLflow for experiment tracking, Unity Catalog for governance, CI/CD pipelines (Azure DevOps, Databricks Asset Bundles), and automated testing.
  • Perform performance tuning on Spark jobs, data pipelines, and ML workloads.
  • Design and operate cloud-native architectures with Azure, Kubernetes, and Docker for deploying ML solutions.
  • Collaborate closely with data scientists and engineers to bring models from prototype to production.

Profile Description

  • Master's degree (or equivalent) in Computer Science, Data Engineering, or a related field.
  • At least 4 years of hands-on experience with Databricks in production environments.
  • Strong Python OOP skills, including experience with packaging tools (uv, poetry, or similar) and adherence to clean code practices.
  • Solid background in ML & DL, with production deployment experience (TensorFlow, PyTorch).
  • Advanced knowledge of statistics and time series analysis (e.g., histograms, heatmaps, interpolation, integrals, derivatives).
  • Practical experience with common data formats (CSV, JSON, Parquet, Delta Lake).
  • Strong expertise in Azure, including Azure Databricks, ADLS, AAD, and Unity Catalog.
  • CI/CD experience with Azure DevOps Pipelines, automated testing pipelines, and Databricks Asset Bundles.
  • Familiarity with automotive data (vehicle signals, test benches, simulations) is a strong plus.

We Offer

  • A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.
  • Complex projects that go beyond "just pipelines" – covering big data processing and large-scale ML/DL deployment.
  • Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.
  • A team where your input and technical decisions truly matter.
  • A competitive package and benefits.

Join us and make a direct impact on shaping the future of Data, AI, and Mobility.

If you have these qualifications and are looking for a new challenge, we encourage you to apply to discuss it further

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