ML Engineer

Job Description

We are seeking an innovative ML Engineer who is passionate about artificial intelligence and machine learning to join our dynamic team in Cape Town. The ideal candidate will have experience in building machine learning models and working with large datasets, contributing to transformative projects that harness the power of data.

Responsibilities

• Build, tune, and maintain scalable machine learning models.
• Collaborate on research projects and prototyping of new algorithms.
• Translate business requirements into technical specifications for ML solutions.
• Ensure the quality and integrity of machine learning datasets.
• Assist in conducting workshops and training sessions to upskill team members.
• Prepare presentations to communicate findings and recommendations to stakeholders.
• Actively participate in coding sprints and team meetups.
• Explore and implement state-of-the-art machine learning techniques.

Requirements

Education

• Bachelor's degree in Computer Science, AI, or related field
• Master's degree is preferable

Experience

• 3+ years of experience in machine learning engineering or data science

Technical Skills

• Python
• TensorFlow
• Scikit-learn
• SQL
• Pandas
• AWS

Soft Skills

• Analytical thinking
• Communication
• Teamwork

Certifications

• Certified Data Scientist
• AWS Certified Machine Learning

Languages

• English: Fluent

Advantageous

• Experience with deep learning frameworks: Knowledge of frameworks such as Keras and PyTorch.
• Familiarity with big data technologies: Experience with tools like Hadoop or Spark.

Benefits

• Competitive salary with annual reviews
• Ifamily health insurance
• Flexible work hours
• Opportunity for professional development and training

Company Culture

• Innovative Environment: We promote a culture of innovation and push the boundaries of technology.
• Collaboration: Team collaboration is at the heart of our success, with open communication encouraged.
• Diversity and Inclusion: We believe in the strength of a diverse team and encourage inclusivity.