Machine Learning Engineer

Job Description

We are seeking a Machine Learning Engineer to join our team in Johannesburg. The ideal candidate will have a strong foundation in machine learning frameworks and algorithms, as well as experience in implementing scalable machine learning models. This role offers an opportunity to work on innovative projects, leveraging big data to enhance AI solutions.

Responsibilities

• Design, develop, and optimize machine learning models for various applications.
• Collaborate with data scientists to preprocess and analyse datasets for model training.
• Implement machine learning algorithms for predictive analytics and automation.
• Monitor and evaluate model performance, making necessary adjustments to enhance outcomes.
• Research and apply the latest advancements in machine learning and AI technologies.
• Present findings and insights to stakeholders and team members.
• Contribute to software development processes for seamless model deployment.

Requirements

Education

• Bachelor's degree in Computer Science, Data Science, or related field
• Master's degree in a relevant field is a plus

Experience

• 4+ years of demonstrated experience in machine learning

Technical Skills

• Python
• Keras

Soft Skills

• Critical thinking
• Adaptability

Certifications

• Google Cloud Professional Machine Learning Engineer
• Certified Data Engineer

Languages

• English: Fluent

Advantageous

• Experience with Cloud Platforms: Familiarity with cloud-based platforms like AWS or GCP.
• Experience with Big Data Technologies: Knowledge of big data tools such as Apache Spark and Hadoop.

Benefits

• Competitive salary and performance bonuses
• Medical aid coverage
• Flexible working hours
• Ability to work remotely some days

Company Culture

• Collaborative Environment: We promote a culture of teamwork and innovation, where all ideas are valued.
• Focus on Growth: Encouraging personal growth and continuous learning is at the core of our company values.
• Diversity and Inclusion: An inclusive workplace is vital for our success and creativity; we embrace differences.