Machine Learning Engineer

Job Description

We are seeking a skilled Machine Learning Engineer to join our Johannesburg office. The ideal candidate will have a strong foundation in machine learning algorithms and programming, with a passion for developing innovative solutions in AI. You will play a key role in designing, developing, and deploying machine learning models that drive our projects forward.

Responsibilities

• Build and train machine learning models based on varied datasets.
• Work closely with the software development team to integrate models into applications.
• Conduct exploratory data analysis to identify patterns and trends.
• Document processes and methodologies for model development and deployment.
• Contribute to team knowledge sharing through workshops and training sessions.
• Assist in the evaluation and selection of technology and tools for ML deployment.
• Adapt existing algorithms and processes to address specific project challenges.

Requirements

Education

• Bachelor's degree in Computer Science or a related field
• Master's degree in Machine Learning or similar is advantageous

Experience

• 3+ years of experience in developing machine learning models

Technical Skills

• R
• SQL

Soft Skills

• Creativity
• Attention to Detail

Certifications

• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning

Languages

• English: Fluent

Advantageous

• Familiarity with Agile Methodologies: Experience working within Agile/Scrum teams.
• Knowledge of Big Data Technologies: Experience with Big Data tools such as Hadoop or Spark is a plus.

Benefits

• Comprehensive medical aid with extensive coverage
• Generous leave policies, including family leave
• Flexible working hours to accommodate personal commitments
• Employee recognition programs and bonuses

Company Culture

• Focus on Growth: We prioritize personal and professional development, providing training and mentorship.
• Collaborative Spirit: We encourage teamwork and value each team member's contributions.
• Work-Life Balance: We believe in maintaining a healthy work-life balance for all employees.