ML Engineer

Job Description

We are seeking an innovative ML Engineer who is passionate about artificial intelligence and machine learning to join our dynamic team in Cape Town. The ideal candidate will have experience in building machine learning models and working with large datasets, contributing to transformative projects that harness the power of data.

Responsibilities

• Develop, deploy, and evaluate machine learning models.
• Collaborate with data engineers to gather and preprocess data.
• Conduct experiments to improve model accuracy and performance.
• Work closely with cross-functional teams to analyze requirements and provide technical solutions.
• Stay current with industry trends and new technologies in ML/AI.
• Document and maintain code quality and model performance metrics.
• Assist in solving complex business problems through data-driven insights.
• Provide support and optimization for existing machine learning pipelines.

Requirements

Education

• Bachelor's degree in Computer Science, AI, or related field
• Master's degree is preferable

Experience

• 3+ years of experience in machine learning engineering or data science

Technical Skills

• Python
• TensorFlow
• Scikit-learn
• SQL
• Pandas
• AWS

Soft Skills

• Analytical thinking
• Communication
• Teamwork

Certifications

• Certified Data Scientist
• AWS Certified Machine Learning

Languages

• English: Fluent

Advantageous

• Experience with deep learning frameworks: Knowledge of frameworks such as Keras and PyTorch.
• Familiarity with big data technologies: Experience with tools like Hadoop or Spark.

Benefits

• Competitive salary with annual reviews
• Ifamily health insurance
• Flexible work hours
• Opportunity for professional development and training

Company Culture

• Innovative Environment: We promote a culture of innovation and push the boundaries of technology.
• Collaboration: Team collaboration is at the heart of our success, with open communication encouraged.
• Diversity and Inclusion: We believe in the strength of a diverse team and encourage inclusivity.