Machine Learning Engineer

Port Elizabeth FULL TIME R41,667 - R58,333 / Month
(R500,000 - R700,000 / Year)

Job Description

Are you a talented Machine Learning Engineer eager to influence real-world applications? At Tech Innovations Inc., we are on the lookout for a bright mind to develop predictive models and automate data collection processes. Utilize your analytical prowess and coding skills to enhance our projects and drive our innovation agenda.

Responsibilities

  • Build and optimize machine learning models for predictive analytics.
  • Assist in the communication and implementation of machine learning best practices.
  • Conduct exploratory data analysis to inform model development.
  • Experiment with various machine learning algorithms to enhance outcomes.
  • Integrate machine learning solutions with existing data systems and workflows.
  • Enhance the robustness of machine learning products by implementing thorough testing protocols.

Requirements

Education
  • Bachelor's degree in Computer Science, Statistics, or related field
  • Master's degree preferred
Experience
  • 3+ years of experience in machine learning or data science roles
Technical Skills
  • Python
  • TensorFlow
  • Data Visualization
  • SQL
  • Machine Learning Algorithms
Soft Skills
  • Analytical thinking
  • Communication
  • Team Collaboration
Certifications
  • TensorFlow Developer Certificate
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with Big Data technologies such as Hadoop: Familiarity with big data platforms for leveraging large datasets.
  • Proficiency in data-cleaning techniques: Experience using tools for data cleansing and manipulation.

Benefits

  • Health insurance
  • Retirement funding options
  • Transport allowance
  • Opportunities for professional development

Company Culture

  • Innovation: We value innovative thinking and support initiatives that push boundaries in technology.
  • Community Focus: Engaging with the community and promoting a culture of social responsibility.
  • Diversity: We are committed to an inclusive environment celebrating diversity in all forms.
Status: Open