Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our dynamic team in Durban. The ideal candidate should have a solid background in machine learning, artificial intelligence, and data analytics. You will be responsible for developing and implementing machine learning models that solve real-world problems. Your skills will directly contribute to the enhancement of our products and services, helping us maintain our competitive edge in the tech industry.

Responsibilities

• Evaluate and deploy models into production environments.
• Collaborate with cross-functional teams to deliver innovative solutions.
• Automate the machine learning pipeline for scalability and efficiency.
• Provide technical guidance and support to team members.
• Contribute to the development of technical documentation.

Requirements

Education

• Bachelor's degree in Computer Science or related field
• Master's degree in a relevant field is an advantage

Experience

• 4+ years of practical experience in machine learning

Technical Skills

• R Programming
• SQL

Soft Skills

• Communication
• Creativity

Certifications

• Microsoft Certified: Azure Data Scientist Associate
• IBM Data Science Professional Certificate

Languages

• English: Fluent

Advantageous

• Experience in Natural Language Processing (NLP): Understanding of NLP techniques for text analysis and model building.
• Familiarity with Deep Learning frameworks: Hands-on experience with deep learning technologies such as Keras or PyTorch.

Benefits

• Attractive compensation package with performance bonuses
• Comprehensive health, dental, and vision coverage
• Ongoing training and professional development opportunities
• Work-life balance initiatives and flexible schedules

Company Culture

• Continuous Learning: We encourage continuous learning and provide our employees with resources for personal and professional growth.
• Work-life Balance: Our company values a healthy work-life balance and offers flexible scheduling options.
• Community Engagement: We believe in giving back to the community and encourage our employees to participate in local initiatives.