Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R70,000 / Month
(R600,000 - R840,000 / Year)

Job Description

Are you passionate about artificial intelligence and looking for a challenging role? As a Machine Learning Engineer at Tech Innovations Inc., you will leverage your expertise to design, build, and deploy machine learning models. You will work with a vibrant team to develop innovative solutions that drive efficiency and transform data into actionable insights.

Responsibilities

  • Lead the machine learning project lifecycle from conception to deployment.
  • Conduct research to develop innovative approaches in machine learning.
  • Evaluate and select appropriate tools and technologies for projects.
  • Provide technical guidance on data issues and model deployment.
  • Prepare reports and presentations to communicate project results.
  • Identify business opportunities through data analytics.
  • Foster a collaborative environment with open communication.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or related field
  • Master's degree in Machine Learning or Data Science is a plus
Experience
  • 5+ years of experience in machine learning or artificial intelligence roles
Technical Skills
  • R
  • Deep Learning
Soft Skills
  • Critical Thinking
  • Leadership
Certifications
  • Google Cloud Professional Data Engineer
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Familiarity with big data technologies (Hadoop, Spark): Experience working with big data tools to process large datasets.
  • Experience in business analytics.: Ability to communicate data-driven insights to non-technical stakeholders.

Benefits

  • Comprehensive health insurance
  • Retirement savings plan
  • Paid time off and holidays
  • Work-life balance initiatives

Company Culture

  • Learning and Growth: We encourage continuous learning and provide resources for personal development.
  • Work-Life Balance: We promote a healthy work-life balance to ensure employee wellbeing.
  • Community Engagement: We actively engage with the community to create a positive impact.
Status: Closed