Lead Machine Learning Engineer

About the Role

Our client is searching for a visionary Lead Machine Learning Engineer to spearhead their advanced AI initiatives. As a fully remote position, you will architect and build scalable machine learning systems that drive innovation across the company, irrespective of geographical location. You will guide a talented team of engineers, foster best practices in MLOps, and translate complex business challenges into effective AI solutions. This role offers the unique chance to shape the technical direction of AI development within a forward-thinking organization that values autonomy, collaboration, and impactful contributions, all from the convenience of your home office, serving the vibrant tech community of Cape Town remotely.

Key Responsibilities

• Lead the design, development, and deployment of end-to-end machine learning pipelines and infrastructure.
• Mentor and manage a team of ML engineers, providing technical guidance and fostering a culture of excellence.
• Develop and implement robust MLOps practices for model training, deployment, monitoring, and versioning.
• Collaborate with data scientists and product managers to define ML project requirements and roadmaps.
• Ensure the scalability, reliability, and efficiency of production ML systems.
• Drive research and adoption of new ML technologies and methodologies.

Requirements

• Master's or Ph.D. in Computer Science, Engineering, or a related field.
• 7+ years of experience in machine learning engineering, with at least 2 years in a lead or senior role.
• Proven track record of designing and deploying large-scale ML systems in production.
• Expertise in programming languages like Python and cloud platforms (AWS, Azure, GCP).
• Deep understanding of ML algorithms, statistical modeling, and data structures.
• Strong knowledge of MLOps tools and best practices (e.g., Docker, Kubernetes, CI/CD).

Benefits

• Highly competitive salary and bonus structure.
• Fully remote work environment with flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous stock options and long-term incentives.
• Unlimited opportunities for professional growth and development.

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