Junior ML
Il y a 2 jours
Casablanca, Maroc
Wexus Group
Temps plein
Gratuit avec email ou Google
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
Gratuit avec email ou Google
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.
- 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.
- 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.
- 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)