Artificial Intelligence Engineer

il y a 2 jours

Rabat, Rabat-Salé-Kénitra, Maroc AXA Global Business Services (AXA GBS) Temps plein 60 000  - 120 000  par an

JOB PURPOSE

We are looking for a technically proficient AI Engineer to drive AI initiatives across multiple domains.

You will be responsible for developing scalable AI solutions, implementing models, and enabling business teams through intelligent automation.

This role requires good knowledge of AI systems, problem-solving skills, and the ability to work across diverse teams and projects.

PROFILE :

The AI Engineer drives business impact by designing and deploying AI models and intelligent systems. This role demands solid technical expertise, a business-oriented mindset, and the ability to collaborate with product, data, and engineering teams in a dynamic environment.

RESPONSABILITIES :

  • Design and develop machine learning models for production use.
  • Build and maintain scalable AI pipelines and services.
  • Collaborate with cross-functional teams to translate business needs into AI solutions.
  • Optimize model performance and ensure reliability in deployment.
  • Contribute to architectural decisions and technical documentation.
  • Participate in sprint planning and agile delivery processes.
  • Support experimentation and continuous improvement of AI systems.

TECHNICAL SKILLS :

Programming & Software Engineering

  • Good knowledge of Python and libraries like pandas and numpy
  • Good knowledge of SQL, REST APIs, and Git
  • Good knowledge of software craftsmanship practices and Kafka
  • Strong hands-on experience with VS Code, Jupyter Notebooks, and Docker

Machine Learning & Deep Learning

  • Good knowledge of supervised, unsupervised, and time series models
  • Good knowledge of model evaluation, feature engineering, and scikit-learn
  • Good knowledge of TensorFlow, PyTorch, and CNN/RNN architectures

GenAI & LLMs

  • Good knowledge of GenAI patterns and prompt engineering
  • Good knowledge of using LLM APIs and integrating LLMs into workflows
  • Exposure to fine-tuning and evaluating LLMs

Statistics & Data Engineering

  • Good knowledge of probability and inferential statistics
  • Good knowledge of Spark/PySpark, ETL pipelines, and cloud platforms
  • Exposure to data architecture concepts like Medallion and DataMesh

Visualization & Tools

  • Good knowledge of Matplotlib, Seaborn, Plotly, and Dash
  • Good knowledge of MLFlow, CI/CD, and model monitoring tools

SOFT SKILLS :

  • Excellent communication skills in both French and English.
  • Strong analytical and problem-solving abilities.
  • Ability to quickly understand and translate business requirements into technical solutions.
  • Ability to work remotely and engage with team members located globally.
  • Effective collaboration skills in a multicultural team environment.
  • Knowledge of agile delivery methods.

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