Junior Machine Learning Engineer

Advansys

Junior Machine Learning Engineer supporting development and implementation of machine learning models at Advansys. Collaborating with teams and documenting processes in a hybrid work environment.

Posted 7/5/2026full-timeNasr City • 🇪🇬 EgyptJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in machine learning model design, implementation, and evaluation, with a strong foundation in data cleaning and preprocessing. Demonstrates effective collaboration and communication skills within cross-functional teams while staying current with industry trends in AI and ML.

Highest-signal resume keywords

Machine Learning Model DesignPython ProgrammingData Cleaning and PreprocessingScikit-LearnTensorFlow

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning ConceptsData ManipulationData AnalysisAlgorithmsPandasNumPyModel EvaluationFine-TuningAI/ML TechniquesProject Experience

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsTeam CollaborationEnthusiasm for Learning

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Data ScienceBachelor's Degree in Artificial Intelligence

Industry Keywords

Machine LearningArtificial IntelligenceData ScienceCross-Functional TeamsIndustry TrendsBest Practices

Tech Stack

Tools & technologies

KerasNumpyPandasPythonScikit-LearnTensorflow

About the role

Key responsibilities & impact

Assisting in the design and implementation of machine learning models under the guidance of senior engineers.
Conducting data cleaning and preprocessing to prepare datasets for training models.
Supporting the evaluation and fine-tuning of machine learning algorithms.
Collaborating with cross-functional teams to understand project requirements and objectives.
Documenting processes, model training, and outcomes clearly and comprehensively.
Staying updated with industry trends and best practices in machine learning and AI.
Participating in team meetings and contributing to brainstorming sessions.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Basic understanding of machine learning concepts and algorithms.
Familiarity with programming languages such as Python or R, and experience with ML libraries (e.g., scikit-learn, TensorFlow, or Keras).
Experience with data manipulation and analysis tools such as Pandas and NumPy.
Strong analytical and problem-solving skills.
Good communication skills and the ability to work effectively in a team environment.
Enthusiasm for learning new technologies and techniques in AI/ML.
Internship or project experience in machine learning or data analysis is a plus.

Benefits

Comp & perks

Hybrid working model
Social and medical insurance
Transportation