Machine Learning Engineer

Durban FULL TIME R41,667 - R54,167 / Month
(R500,000 - R650,000 / Year)

Job Description

Join our team as a Machine Learning Engineer! You will be at the forefront of developing cutting-edge AI technologies. The role involves collaborating with a diverse team to build and enhance machine learning models, ensuring they meet business requirements and improve user experiences.

Responsibilities

  • Design and implement machine learning models for predictive analytics.
  • Collaborate with data engineers to optimize data pipelines.
  • Conduct data preprocessing and exploration to enhance model performance.
  • Test and validate machine learning models against various datasets.
  • Work with cross-functional teams to integrate AI solutions into existing systems.
  • Stay updated with the latest trends in AI and machine learning.
  • Provide technical guidance and mentorship to junior team members.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Master's degree in Machine Learning or AI is preferred
Experience
  • 3+ years of experience in machine learning and data analysis
Technical Skills
  • Python
  • Machine Learning Algorithms
  • SQL
  • Data Visualization
Soft Skills
  • Analytical Thinking
  • Teamwork
Languages
  • English: Fluent

Advantageous

  • Experience with Big Data technologies: Familiarity with Big Data tools such as Hadoop, Spark, or Kafka.
  • Knowledge of cloud platforms: Experience with AWS, Azure, or Google Cloud for deploying machine learning models.

Benefits

  • Competitive salary and performance bonuses
  • Health insurance and wellness programs
  • Flexible working arrangements
  • Career growth and professional development opportunities

Company Culture

  • Innovation: We foster an innovative environment that encourages creative thinking and problem-solving.
  • Diversity and Inclusion: We believe in building a diverse workforce that reflects our community and enhances our creativity.
  • Continuous Learning: We prioritize continuous learning and provide resources for professional development.
Status: Closed