Machine Learning Engineer

Gqeberha FULL TIME R50,000 - R70,000 / Month
(R600,000 - R840,000 / Year)

Job Description

Tech Innovations Inc. is excited to offer an opportunity for a skilled Machine Learning Engineer. In this role, you’ll delve into the realms of data analysis and apply machine learning models to derive insights and enforce predictive strategies. An ideal candidate should be proficient in data manipulation, have a solid understanding of AI principles, and be comfortable working with large data sets to create impactful solutions.

Responsibilities

  • Design, implement, and validate machine learning models.
  • Collaborate with cross-functional teams to integrate models into applications.
  • Analyze data to guide product improvement initiatives.
  • Develop scalable data processing pipelines.
  • Optimize ML algorithms to enhance performance.
  • Conduct exploratory data analysis to identify trends and patterns.
  • Maintain and improve existing ML models post-deployment.
  • Stay updated with the latest machine learning advancements and technologies.

Requirements

Education
  • Bachelor's degree in Computer Science, Engineering, or related field
  • Master's degree is advantageous
Experience
  • 2+ years of experience in machine learning and data analysis
Technical Skills
  • Python
  • TensorFlow
  • SQL
  • Machine Learning
Soft Skills
  • Analytical skills
  • Teamwork
Certifications
  • Certification in Machine Learning
  • Data Science Certification
Languages
  • English: Fluent

Advantageous

  • Experience with cloud computing platforms: Familiarity with AWS, Azure, or Google Cloud for deploying ML models.
  • Knowledge of R programming: Proficiency in R for statistical analysis and data visualization.

Benefits

  • Competitive salary and performance bonuses
  • Comprehensive health and wellness programs
  • Flexible working hours
  • Professional development opportunities

Company Culture

  • Innovation: We prioritize innovative solutions and encourage out-of-the-box thinking.
  • Collaboration: Our diverse team works together to achieve common goals.
  • Continuous Learning: We foster an environment of continuous professional development.
Status: Open