ML Engineer

Johannesburg FULL TIME R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

Are you ready to take on a challenge? We are looking for an ML Engineer to work on enhancing our AI capabilities. You'll develop predictive models, collaborate with data scientists, and assist in deploying ML solutions. Join us in shaping the future of technology in Johannesburg!

Responsibilities

  • Develop, test, and maintain innovative machine learning algorithms.
  • Work closely with data analysts and other engineers to enhance system performance.
  • Assist in creating and refining predictive models for effective decision-making.
  • Gather requirements and tailor solutions to meet business needs.
  • Continuously evaluate model performance and adapt designs as needed.
  • Engage in knowledge sharing and mentoring junior team members.

Requirements

Education
  • Bachelor’s degree in Data Science, Artificial Intelligence, or related field
  • Master’s or PhD in a relevant field is preferred
Experience
  • 3-5 years of experience in machine learning or data analytics
Technical Skills
  • R Programming
  • Data Visualization
Soft Skills
  • Adaptability
  • Collaboration
Certifications
  • Microsoft Certified: Azure Data Scientist Associate
  • TensorFlow Developer Certificate
Languages
  • English: Fluent

Advantageous

  • Experience in Natural Language Processing (NLP): Knowledge of NLP techniques and libraries, like NLTK or SpaCy.
  • Experience with Deep Learning Techniques: Practical knowledge of neural networks and deep learning frameworks.

Benefits

  • Comprehensive health and wellness programs
  • An inclusive company culture focusing on innovation and teamwork
  • Paid learning and development opportunities
  • Access to exclusive tech conferences and workshops

Company Culture

  • Team Collaboration: We foster a collaborative environment where ideas can be shared freely.
  • Sustainability Focused: Our projects focus on creating sustainable technology solutions for a better future.
  • Flexible Working Environment: We understand the importance of work-life balance and offer flexible working hours.
Status: Open