Junior AI Engineer

Placements24

Benoni

Hybrid

ZAR 300,000 - 420,000

Full time

32 hours ago
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Benefits offered by this job

Competitive entry-level salary
Comprehensive health benefits
Retirement savings options
Mentorship and professional dev.
Hybrid work model

Job summary

Placements24 is recruiting a Junior AI Engineer to join our client’s team in Benoni, Gauteng. This entry-level role offers hands-on experience across the AI project lifecycle, from data preparation to model deployment, under the guidance of senior engineers.

You will develop and test AI models using Python and common ML libraries, collaborate with a supportive team, and participate in training and mentorship to grow technical skills in a dynamic, hybrid work environment in Benoni.

Qualifications

  • Bachelor's degree in CS/Engineering/Data Science or related field.
  • Basic understanding of AI/ML concepts and workflows.
  • Proficiency with Python and ML libraries.
  • Willingness to learn and grow in AI domain.

Responsibilities

  • Assist in development and implementation of AI and ML models.
  • Support data collection, cleaning, and preprocessing for model training.
  • Help test and validate AI models and algorithms.
  • Contribute to writing code for AI applications and services.
  • Collaborate with senior engineers on project tasks and problem-solving.
  • Learn and apply best practices in AI development and software engineering.

Skills

Python
AI/ML concepts
Data manipulation
Analytical skills
Communication
Team collaboration

Education

Bachelor's degree in Computer Science/Engineering/Data Science or related field

Tools

Python
Scikit-learn
TensorFlow
PyTorch

Job description

About the Role

Our client is a pioneering technology firm seeking an enthusiastic Junior AI Engineer to join their team in Benoni, Gauteng . This role is designed for individuals who are passionate about artificial intelligence and eager to develop their skills in a practical, hands-on environment. You will work alongside experienced AI professionals, contributing to the development, testing, and deployment of AI models and solutions. This is an excellent entry-level opportunity to gain valuable experience in a cutting-edge field and build a successful career in AI. You will be involved in various stages of the AI project lifecycle, learning from industry experts and contributing to innovative projects. Join a supportive team focused on growth and advancement in Benoni .

Key Responsibilities
  • Assist in the development and implementation of AI and machine learning models.
  • Support data collection, cleaning, and preprocessing tasks for model training.
  • Help in testing and validating AI models and algorithms.
  • Contribute to writing code for AI applications and services.
  • Collaborate with senior engineers on project tasks and problem-solving.
  • Learn and apply best practices in AI development and software engineering.
  • Assist in documenting AI models, processes, and code.
  • Participate in team meetings and contribute ideas for AI solutions.
Requirements
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • Basic understanding of AI and machine learning concepts.
  • Familiarity with programming languages such as Python.
  • Exposure to AI/ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) is a plus.
  • Knowledge of data manipulation and analysis techniques.
  • Strong desire to learn and grow in the field of AI.
  • Good analytical and problem-solving skills.
  • Effective communication and interpersonal skills.
  • Ability to work collaboratively in a team environment.
Benefits
  • Competitive entry-level salary
  • Comprehensive health benefits
  • Retirement savings options
  • Opportunities for mentorship, training, and professional development are provided to foster career growth.
  • A dynamic and collaborative work environment in Benoni
  • Join a company committed to nurturing talent and driving innovation in the AI space.
  • This role offers a hybrid work model, blending office-based collaboration with remote flexibility.
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