ML Engineer

Job Description

Join us as an ML Engineer in Cape Town, where you will play a vital role in pushing the boundaries of machine learning technology. Your expertise in developing and deploying machine learning models will directly contribute to our mission of creating cutting-edge solutions. As part of our multidisciplinary team, you will engage in exciting projects that require innovative thinking and effective problem-solving skills. Bring your passion for AI and your technical skills to our company!

Responsibilities

• Create end-to-end ML workflows from data acquisition to model deployment.
• Perform feature engineering to enhance model predictive power.
• Collaborate in cross-functional teams to deliver innovative AI solutions.
• Monitor model performance and troubleshoot issues post-deployment.
• Engage in research and development of new machine learning techniques.
• Contribute to open-source ML projects as part of continuous learning.
• Assist in data visualization to communicate findings effectively.

Requirements

Education

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

Experience

• 4+ years of experience in AI and machine learning

Technical Skills

• Machine Learning Algorithms
• Deep Learning

Soft Skills

• Attention to detail
• Communication skills

Certifications

• Machine Learning Certification by Stanford University
• AWS Certified Machine Learning

Languages

• English: Fluent

Advantageous

• Familiarity with NLP techniques: Experience in implementing Natural Language Processing models.
• Knowledge of MLOps processes: Understanding of operationalizing machine learning pipelines.

Benefits

• Competitive salary packages
• Performance bonuses
• Tailored training programs
• Support for further education

Company Culture

• Employee Wellness: We take pride in promoting our employees' well-being, providing a range of resources to maintain a healthy work-life balance.
• Diversity and Inclusion: We are committed to fostering an inclusive workplace where everyone feels welcome and empowered to contribute.
• Commitment to Excellence: Our team strives for excellence in all our projects, pushing the envelope on what is possible through AI and machine learning.