Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our expanding team in Cape Town. The ideal candidate will have experience in developing machine learning models, data analysis, and implementing AI solutions. This is a fantastic opportunity to work on innovative projects that impact various industries.

Responsibilities

• Build robust machine learning pipelines for data ingestion and model training.
• Explore and analyze large datasets to derive actionable insights.
• Mentor junior team members and share knowledge on best practices in AI.
• Prepare and present technical reports on machine learning projects.
• Engage with clients to understand their needs and propose tailored AI solutions.
• Contribute to team efforts in enhancing project workflow and efficiency.

Requirements

Education

• Bachelor's degree in Artificial Intelligence or Data Science
• Master's degree is a plus

Experience

• 5+ years of experience in machine learning and AI implementation

Technical Skills

• Python
• Natural Language Processing (NLP)
• Deep Learning frameworks (Keras, PyTorch)
• Big Data Technologies (Hadoop, Spark)

Soft Skills

• Critical Thinking
• Project Management
• Mentorship

Certifications

• Certified TensorFlow Developer
• IBM Data Science Professional Certificate

Languages

• English: Fluent

Advantageous

• Experience with CI/CD pipelines: Experience in automating deployment processes using CI/CD methodologies.
• Publication in relevant ML journals or conferences: A recognized contribution to the machine learning community through publications.

Benefits

• Comprehensive medical aid and dental coverage
• Generous leave policies
• Support for continuous learning and certification programs
• Remote work flexibility

Company Culture

• Continuous Learning: We encourage our team to pursue ongoing learning and skill development.
• Employee Empowerment: We empower our employees to take ownership and make impactful decisions.
• Work-Life Balance: We prioritize a healthy work-life balance for our employees.