Junior ML

Il y a 2 jours

Casablanca, Maroc Wexus Group Temps plein

Key Responsibilities

Model Implementation & Testing
  • Assist in implementing and testing machine learning models and AI features under the direction of the Tech Lead.
  • Write and maintain code for data preprocessing, feature pipelines, and model inference.
  • Run experiments, document results, and flag anomalies or performance issues.
  • Contribute to debugging and resolving issues in development and staging environments.
Agentic AI Support
  • Assist in building and testing LLM-based workflows and agentic pipelines.
  • Implement prompt templates, tool integrations, and retrieval components under senior guidance.
  • Validate agent behaviour against defined test cases and expected outputs.
Data Preparation
  • Prepare, clean, and structure datasets for model training and evaluation.
  • Write scripts for data transformation, filtering, and quality checks.
  • Collaborate with the Data Analyst to ensure data is properly formatted for ML use cases.
Learning & Collaboration
  • Participate in code reviews and incorporate feedback from the Tech Lead.
  • Follow established engineering standards, documentation practices, and version control workflows.
  • Engage in regular team syncs and contribute to progress updates.
  • Proactively develop skills in ML, agentic AI, MLOps, and software engineering.
 

Required Skills & Experience

  • Degree in Computer Science, Engineering, Data Science, Applied Mathematics, or related field
  • Foundational understanding of machine learning concepts and algorithms
  • Proficiency in Python
  • Hands-on exposure to ML libraries (Scikit-learn, TensorFlow, PyTorch, or HuggingFace)
  • Basic experience with data processing tools (pandas, NumPy)
  • Familiarity with version control (Git)
  • Strong motivation to learn and solve technical problems
  • Good communication skills in English (Minimum Level: B2)
 

Nice-to-Have

  • Internship or academic project involving machine learning, NLP, or AI
  • Exposure to LLMs, prompt engineering, or agentic AI frameworks
  • Experience deploying simple ML models (even in personal or academic projects)
  • Familiarity with Docker, APIs, or CI/CD concepts
  • Awareness of cloud computing environments (AWS, Azure, GCP, or Scaleway)