Machine Learning Engineer

Job Description

We're on the lookout for a talented Machine Learning Engineer to join our Johannesburg team. In this role, you'll leverage your skills in machine learning to design and implement advanced algorithms for our cutting-edge projects. You will work closely with data scientists and software developers to create innovative solutions that make an impact in various industries, from healthcare to finance. Your contributions will help us enhance our machine learning capabilities and drive the development of intelligent systems that can learn and adapt.

Responsibilities

• Architect and implement complex machine learning systems.
• Enhance model performance through rigorous testing and validation.
• Foster collaboration with other engineers and team members.
• Stay updated on industry trends and emerging technologies.
• Produce documentation for algorithms and software designs.
• Drive innovation and inspire creativity in the team.

Requirements

Education

• Bachelor's degree in Computer Science, Statistics, or related field
• Master's degree in Data Science or equivalent is a plus

Experience

• 3-5 years of experience in machine learning and data science

Technical Skills

• R
• SQL

Soft Skills

• Adaptability
• Teamwork

Certifications

• AWS Certified Machine Learning
• Data Science Certifications

Languages

• English: Fluent

Advantageous

• Experience with big data technologies: Hands-on experience with big data technologies like Hadoop or Spark.
• Knowledge of cloud platforms: Familiarity with cloud services such as AWS or Google Cloud.

Benefits

• Comprehensive healthcare coverage
• 401(k) retirement plan with company match
• Work-from-home options
• Paid time off and holiday leave
• Access to training and workshops

Company Culture

• Diversity and Inclusion: We promote diversity and inclusivity within the workplace, welcoming varied perspectives.
• Open Communication: We value open communication and transparency amongst our employees.
• Employee Well-Being: We prioritize employee well-being and work-life balance.