Machine Learning Specialist

Job Description

We are seeking a Machine Learning Specialist to join our vibrant team in Port Elizabeth. The role involves developing and implementing cutting-edge machine learning models to solve complex business problems. You will work closely with data scientists and engineers to refine algorithms and enhance predictive analytics capabilities.

Responsibilities

• Analyze data sets to identify trends and patterns that can enhance model accuracy.
• Collaborate with software engineers to deploy models into production environments.
• Provide technical support in machine learning-related queries.
• Create visually appealing data presentations to communicate findings.
• Contribute to the strategic planning of machine learning initiatives.
• Identify and mitigate algorithm risks throughout the development process.

Requirements

Education

• Bachelor's degree in Computer Science or a related field
• Master's degree in Data Science preferred

Experience

• 3+ years in machine learning or data science roles

Technical Skills

• R
• Machine Learning Algorithms

Soft Skills

• Problem-solving
• Creativity

Certifications

• Google Professional Data Engineer
• Certified Data Scientist

Languages

• English: Fluent

Advantageous

• Knowledge of reinforcement learning techniques: Understanding and application of reinforcement learning algorithms.
• Familiarity with model interpretability tools: Experience with tools that enhance the interpretability of machine learning models.

Benefits

• Generous leave policy including annual and sick leave
• Access to wellness programs and mental health support
• Annual team-building events and social activities
• Remote work options available for flexibility

Company Culture

• Continuous Learning: We believe in continuous learning, providing our staff with ongoing training opportunities to enhance their skills.
• Work-Life Balance: We prioritize work-life balance, offering flexible work arrangements to support our employees' personal needs.
• Community Engagement: We encourage our team members to engage with the community, participating in various outreach programs and initiatives.