Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our dynamic team in Durban. The ideal candidate will have a solid understanding of machine learning algorithms and a passion for innovation. In this role, you will develop and implement cutting-edge machine learning solutions that enhance our product offerings. You will collaborate with data scientists and software engineers to drive projects from concept to deployment.

Responsibilities

• Build and maintain data pipelines for training and inference.
• Utilize cloud platforms for model deployment and scaling.
• Collaborate with cross-functional teams to define project scope and requirements.
• Create visualizations to communicate model outcomes and insights.
• Engage with clients to understand their needs and provide tailored solutions.
• Participate in team meetings and contribute to strategic planning.

Requirements

Education

• Bachelor's degree in a relevant field
• Master's degree in Machine Learning or related field is preferred

Experience

• 4+ years of experience in machine learning projects

Technical Skills

• R
• Deep Learning

Soft Skills

• Critical thinking
• Adaptability

Certifications

• AWS Certified Machine Learning Specialty
• Microsoft Certified: Azure Data Scientist Associate

Languages

• English: Fluent

Advantageous

• Experience with Big Data technologies: Hands-on knowledge of technologies like Hadoop or Spark for handling large datasets.
• Familiarity with Agile methodologies: Experience working in Agile teams for software development.

Benefits

• Attractive salary with annual bonuses based on performance.
• Health and wellness benefits including gym memberships.
• Work-life balance initiatives including remote working options.
• Ongoing training and career advancement opportunities.

Company Culture

• Diversity & Inclusion: We are dedicated to creating a diverse and inclusive workplace where all voices are heard.
• Growth Mindset: We encourage a growth mindset, fostering ongoing learning and improvement for all team members.
• Community Engagement: Our company actively engages with the local community through various outreach programs.