Machine Learning Engineer

Job Description

We are searching for a skilled Machine Learning Engineer to join our dynamic team in Durban. In this role, you will leverage your expertise to design and implement machine learning models that solve real-world problems. You'll be responsible for improving existing systems and driving innovation within our AI projects, contributing to the development of smarter technologies.

Responsibilities

• Develop frameworks for data processing and model training.
• Conduct feature engineering and selection to optimize model input.
• Collaborate on experiments to assess new machine learning techniques.
• Support data collection and data preparation efforts.
• Create visualizations and reports to present findings to stakeholders.
• Ensure reproducibility and maintainability of ML models.
• Assist in deploying models in production and scaling them.
• Participate in code reviews and contribute to team knowledge sharing.

Requirements

Education

• Bachelor's degree in Computer Science, Mathematics, or related field
• Master's degree in Data Science or relevant field is a plus

Experience

• 3+ years of experience in machine learning or data science

Technical Skills

• Python
• TensorFlow
• Scikit-learn
• Data Analysis
• Statistical Analysis

Soft Skills

• Analytical Thinking
• Communication
• Team Player

Languages

• English: Fluent

Advantageous

• Experience with cloud services like AWS or Azure: Hands-on experience deploying models on cloud platforms.
• Knowledge of big data technologies like Spark: Familiarity with using big data frameworks to handle large datasets.

Benefits

• Competitive salary package
• Medical aid and retirement benefits
• Flexible working hours
• Professional development opportunities

Company Culture

• Innovative Environment: We foster a culture of innovation where challenges are seen as opportunities.
• Collaboration: Our team works closely together to achieve shared goals.
• Continuous Learning: We value learning and growth and provide various opportunities for professional development.