Machine Learning Engineer

Pretoria FULL TIME R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

As a Machine Learning Engineer at Tech Innovations Inc., you will engage in designing machine learning algorithms and data analytics processes. Your technical skills will help transform data into actionable insights, enhancing decision-making across departments. We are looking for a proactive individual who thrives in a fast-paced environment.

Responsibilities

  • Research and adopt new machine learning technologies.
  • Collaborate with cross-functional teams to integrate machine learning into applications.
  • Ensure that machine learning models are scalable and robust.
  • Act as a mentor to junior engineers and assist with their growth.
  • Troubleshoot issues related to machine learning implementations.
  • Provide training and guidance to team members on best practices and tools.

Requirements

Education
  • Master's degree in Computer Science, Data Science, or a related field
  • Ph.D. is an advantage
Experience
  • 5+ years of experience in machine learning and data analysis
Technical Skills
  • Deep Learning
  • Machine Learning Algorithms
Soft Skills
  • Problem-solving
  • Mentoring
Certifications
  • Machine Learning Specialization Certificate
  • AI Engineer Certificate
Languages
  • English: Fluent

Advantageous

  • Familiarity with time-series analysis: Experience in working with time-series data and predictive modeling.
  • Knowledge of reinforcement learning techniques: Understanding of reinforcement learning methods and applications.

Benefits

  • Attractive salary package with annual bonuses
  • Comprehensive health benefits including mental health support
  • Flexible work arrangements with the option for remote work
  • Access to professional development resources and workshops

Company Culture

  • Diversity and Inclusion: We embrace diversity and foster an inclusive environment where everyone feels valued.
  • Work-life Balance: We promote a healthy work-life balance to enhance productivity and employee satisfaction.
  • Community Engagement: We actively participate in community initiatives and encourage team involvement.
Status: Closed