ML Ops Engineer

Job Description

We're on the hunt for a skilled ML Ops Engineer to join our dynamic team in Cape Town. In this role, you will develop and implement machine learning pipelines, manage ML workflows, and collaborate closely with data scientists to optimize models for deployment in a production environment. Your work will significantly impact our AI-related projects, ensuring that our technology remains cutting-edge.

Responsibilities

• Develop automated solutions for ML model deployment.
• Work closely with data scientists to enhance and scale ML models.
• Ensure ML infrastructures are reliable and scalable.
• Provide insights on performance bottlenecks in ML systems.
• Create documentation related to ML operations and best practices.
• Facilitate training sessions for staff on ML tools and processes.
• Conduct A/B testing for model evaluation and improvement.
• Enhance security protocols in ML workflows.
• Lead efforts to optimize resource consumption for ML applications.
• Support continuous integration and delivery (CI/CD) for ML deployments.

Requirements

Education

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

Experience

• 3+ years of experience in ML engineering or related field

Technical Skills

• Python
• TensorFlow
• Kubernetes
• MLflow

Soft Skills

• Analytical Skills
• Excellent Communication

Certifications

• Certified Kubernetes Administrator (CKA)
• Google Cloud Professional Data Engineer

Languages

• English: Fluent

Advantageous

• Experience with Docker: Proficient in Docker for containerizing applications.
• Knowledge of data engineering: Understanding of data pipelines and data flows.

Benefits

• Medical aid and wellness benefits
• Flexible working hours
• Opportunities for professional development
• Performance-based bonuses

Company Culture

• Innovation: We foster a culture of innovation where creativity thrives.
• Collaboration: Teamwork is paramount - we believe the best ideas come from collaboration.
• Growth Mindset: We promote a growth mindset, encouraging continuous learning and improvement.