Machine Learning Engineer

Cape Town FULL TIME R66,667 - R83,333 / Month
(R800,000 - R1,000,000 / Year)

Job Description

As a Machine Learning Engineer at Tech Solutions Inc., you'll be integral to our mission of innovating through AI technology. We are looking for someone who can analyze complex datasets and transform data-driven insights into actionable machine learning solutions. You’ll collaborate closely with data scientists and software engineers to bring machine learning algorithms to life.

Responsibilities

  • Design and optimize machine learning workflows and pipelines.
  • Work with cross-disciplinary teams to identify opportunities for using AI in product development.
  • Test and validate models for reliability and performance under various scenarios.
  • Mentor junior engineers and assist in their professional development.
  • Present findings and progress to stakeholders in a clear and concise manner.
  • Continuously monitor model outputs and improve upon existing solutions.

Requirements

Education
  • Bachelor's degree in Computer Science or Mathematics
  • PhD in Machine Learning or a related field is advantageous
Experience
  • 4+ years in AI and machine learning development.
Technical Skills
  • Deep Learning
  • Natural Language Processing
  • Big Data Technologies
Soft Skills
  • Problem Solving
  • Adaptability
Certifications
  • Microsoft Certified: Azure Data Scientist Associate
  • TensorFlow Developer Certificate
Languages
  • English: Fluent

Advantageous

  • Publications in AI and ML research: Published research work in relevant AI journals or conferences.
  • Experience with reinforcement learning: Understanding of reinforcement learning principles and their application.

Benefits

  • Subsidized health insurance for employees and families
  • Performance bonuses based on project success
  • Work-life balance initiatives and recreational activities
  • Team-building events and activities

Company Culture

  • Continuous Improvement: We believe in continuous learning through training and feedback.
  • Work-Life Balance: We value our employees’ well-being and offer flexible work options.
  • Passion for Tech: Our team shares a passion for cutting-edge technology and its application.
Status: Open