Principal Machine Learning Engineer – Remote in Kimberley

About the Role

Our client, a cutting-edge artificial intelligence research lab, is looking for a highly skilled and experienced Remote Principal Machine Learning Engineer. This position is entirely remote, offering the flexibility to work from any location within South Africa. You will play a pivotal role in designing, developing, and deploying state-of-the-art machine learning models and systems that drive innovation across our client's diverse product lines. This role demands a deep understanding of ML algorithms, MLOps, and large-scale data processing. You will lead complex projects, mentor junior engineers, and collaborate with researchers and product teams to bring advanced AI solutions to life. We seek a thought leader capable of tackling challenging problems and shaping the future of machine learning applications.

Key Responsibilities

• Lead the end-to-end development and deployment of machine learning models, from experimentation to production.
• Design and implement robust, scalable, and efficient ML pipelines and infrastructure.
• Research, evaluate, and apply advanced ML algorithms and techniques to solve complex problems.
• Collaborate with data scientists and researchers to integrate models into production systems.
• Develop and maintain MLOps practices, including model monitoring, versioning, and automated retraining.
• Optimize ML model performance, latency, and resource utilization.
• Mentor and guide junior machine learning engineers, providing technical leadership and fostering best practices.
• Stay current with the latest advancements in machine learning, deep learning, and AI research.
• Communicate technical concepts and project progress effectively to both technical and non-technical stakeholders.
• Contribute to the development of a strong machine learning culture within the organization.

Requirements

• Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 8 years of hands-on experience in machine learning engineering, with a proven track record of deploying models in production.
• Deep expertise in ML algorithms, statistical modeling, and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong proficiency in programming languages such as Python, and experience with ML libraries (e.g., Scikit-learn, Pandas).
• Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD for ML).
• Familiarity with big data technologies (e.g., Spark) and cloud platforms (AWS, Azure, GCP).
• Excellent understanding of software engineering principles and best practices.
• Strong analytical, problem-solving, and critical thinking abilities.
• Exceptional communication, collaboration, and leadership skills, essential for a remote role.
• Ability to work independently and drive projects to completion in a distributed environment.

Benefits

Our client offers a highly competitive salary, generous bonus structure, and comprehensive health and wellness benefits. This is a fully remote position, providing excellent work-life balance and flexibility. Professional development is strongly encouraged, with support for conferences, training, and certifications. You will work on groundbreaking AI projects with a talented, global team. Our client is committed to fostering an innovative and collaborative remote work environment, providing employees with the resources and support needed to excel.