Machine Learning Engineer - Predictive Analytics

Our client is at the forefront of leveraging data to drive business insights and is seeking a talented Machine Learning Engineer to join their innovative team. This role is based out of our Durban, Kwa Zulu-Natal office, and is offered on a fully remote basis, allowing you to work from anywhere in South Africa. You will play a crucial role in developing, deploying, and maintaining machine learning models that tackle complex business challenges, focusing on predictive analytics.

This is a fantastic opportunity to work with large datasets, cutting-edge technologies, and collaborate with a team of experts dedicated to advancing data science. The ideal candidate will have a strong foundation in machine learning principles, excellent programming skills, and a passion for building scalable and reliable ML systems. You will be responsible for the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment.

We are looking for someone who is not only technically proficient but also a proactive problem-solver and an effective communicator.

• Design, build, train, and deploy machine learning models for predictive analytics, forecasting, and classification tasks.
• Develop and maintain robust data pipelines for feature engineering and model training.
• Implement and optimize machine learning algorithms, ensuring scalability and efficiency.
• Collaborate with data scientists and business stakeholders to understand requirements and translate them into technical solutions.
• Monitor and evaluate the performance of deployed models, iterating and retraining as needed.
• Utilize cloud platforms (e.g., AWS, Azure, GCP) for model development and deployment.
• Write clean, maintainable, and well-documented code in Python or other relevant languages.
• Stay up-to-date with the latest advancements in machine learning and AI.
• Contribute to the development of best practices and MLOps strategies within the team.
• Troubleshoot and resolve issues related to ML models and infrastructure.

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
• Proven experience (3+ years) in developing and deploying machine learning models in a production environment.
• Strong understanding of machine learning algorithms (regression, classification, clustering, etc.) and statistical modeling.
• Proficiency in Python and relevant ML libraries (e.g., Scikit-learn, Tensor Flow, PyTorch, Keras).
• Experience with data manipulation and analysis tools (e.g., Pandas, Num Py).
• Familiarity with SQL and database systems.
• Experience with cloud computing platforms (e.g., AWS Sage Maker, Azure ML, GCP AI Platform).
• Knowledge of MLOps principles and tools is highly desirable.
• Strong problem-solving abilities and attention to detail.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences.

• Our client offers a competitive salary.
• Comprehensive health insurance.
• Generous paid time off.
• As this is a fully remote role, you will enjoy the flexibility and convenience of working from home.
• A performance-based bonus structure is also in place.
• We provide opportunities for professional growth, including access to online courses, workshops, and industry conferences.
• Join our client in Durban and be part of a forward-thinking company that is making a significant impact through data-driven innovation.
• We offer a supportive and collaborative work environment focused on continuous learning and development.