Remote Senior Machine Learning Engineer

Our client, a leading innovator in data-driven solutions and artificial intelligence, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join their fully remote R&D team. This role is critical in designing, developing, and deploying sophisticated machine learning models and algorithms that drive our client's cutting-edge products and services. You will work on challenging problems, leveraging large datasets to build predictive models, enhance user experiences, and unlock new business opportunities.

The ideal candidate possesses a deep understanding of various machine learning techniques, strong programming skills, and a proven ability to translate complex business requirements into robust technical solutions. As a senior member of the team, you will mentor junior engineers, contribute to architectural decisions, and champion best practices in model development and deployment. This is a remote-first position, offering exceptional flexibility and the opportunity to collaborate with a diverse, globally distributed team from anywhere.

We are committed to fostering an inclusive and innovative environment where your contributions will have a significant impact. This role, while remote, will involve close collaboration with teams that may have ties to research hubs, making it a dynamic and intellectually stimulating position, regardless of your physical location, though our core operations are informed by the advancements seen in regions like Mossel Bay, Western Cape .

• Design, build, train, and deploy advanced machine learning models and algorithms.
• Develop and maintain robust data pipelines for model training and evaluation.
• Collaborate with data scientists, software engineers, and product managers to define ML requirements and deliver solutions.
• Conduct feature engineering, model selection, hyperparameter tuning, and performance optimization.
• Implement and manage ML model deployment pipelines, ensuring scalability and reliability.
• Monitor model performance in production and implement retraining strategies as needed.
• Stay abreast of the latest research and advancements in machine learning and AI.
• Mentor junior machine learning engineers and contribute to technical strategy.
• Document ML models, processes, and best practices.
• Write clean, efficient, and well-tested code in Python or other relevant languages.

• Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 5 years of professional experience in machine learning engineering.
• Strong theoretical understanding and practical experience with supervised and unsupervised learning algorithms (e.g., deep learning, gradient boosting, clustering).
• Proficiency in Python and ML libraries such as Tensor Flow, PyTorch, scikit-learn.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow).
• Solid understanding of data structures, algorithms, and software engineering best practices.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team.
• Proven ability to deliver end-to-end ML solutions.

• As a fully remote employee, you will enjoy the flexibility to work from anywhere.
• Our client offers a highly competitive salary, comprehensive health and wellness benefits, generous paid time off, and a substantial retirement savings plan.
• We provide opportunities for continuous learning and professional growth, including access to online courses, workshops, and conferences.
• You’ll be part of a dynamic and supportive team, contributing to groundbreaking AI advancements.
• Performance bonuses and stock options are also available.
• This is a fantastic opportunity to advance your career in machine learning with a company that values innovation, autonomy, and work-life balance, offering a truly global work experience inspired by the spirit of research hubs like those around Mossel Bay, Western Cape .