Machine Learning Engineer - Predictive Analytics

Placements24; Pretoria; Híbrido; ZAR 600.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Retirement savings plan

Professional development opportunities

Hybrid work model

Descripción de la vacante

Placements24 is seeking a Machine Learning Engineer focused on predictive analytics in Pretoria, Gauteng. You will design, deploy, and monitor ML models for forecasting, handling large datasets and collaborating with cross-functional teams.

The role blends in-office collaboration with remote flexibility, offering opportunities to apply cutting-edge AI technologies and contribute to strategic decisions and AI roadmap.

Formación

• Bachelor's or Master's degree in CS, Statistics, Mathematics, DS or related field.
• 3+ years hands-on experience in ML engineering or data science with predictive modeling.
• Proficiency in Python and ML libraries (Scikit-learn, Pandas, NumPy, TensorFlow/PyTorch).
• Experience with SQL and data extraction/manipulation.
• Familiarity with cloud ML services and MLOps practices.

Responsabilidades

• Design, develop, and implement ML models for predictive analytics, forecasting, and anomaly detection.
• Process and transform large datasets for modeling.
• Evaluate models, tune hyperparameters, ensure robustness and scalability.
• Collaborate with data scientists, engineers, and stakeholders to translate requirements.
• Deploy ML models in production using MLOps best practices.
• Monitor and retrain deployed models as needed.
• Research and apply new ML techniques to improve predictions.
• Document methodologies and results.
• Contribute to AI strategy and roadmap.

Conocimientos

ML experience

Analytical skills

Communication skills

Educación

Bachelor's or Master's in CS/Math/DS

Herramientas

Python

Scikit-learn

Pandas

NumPy

TensorFlow

PyTorch

SQL

AWS/Azure/GCP ML services

MLOps

Descripción del empleo

About the Role

Our client, a dynamic innovator in the AI & Emerging Technologies space, is seeking a skilled Machine Learning Engineer specializing in Predictive Analytics. This role, based in Pretoria, Gauteng , involves developing and deploying sophisticated machine learning models to forecast future trends and outcomes. You will be at the forefront of applying AI to drive strategic decision-making, working with large datasets and cutting-edge technologies. The position offers a challenging yet rewarding environment where your contributions will directly impact business success. We are looking for a proactive individual eager to tackle complex analytical problems and contribute to building intelligent systems that provide actionable insights. This hybrid role allows for a balance between in-office collaboration and remote flexibility.

Key Responsibilities

• Design, develop, and implement machine learning models for predictive analytics, time-series forecasting, and anomaly detection.


• Process, clean, and transform large and complex datasets to prepare them for modeling.


• Evaluate model performance, tune hyperparameters, and ensure the robustness and scalability of deployed solutions.


• Collaborate with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical solutions.


• Deploy machine learning models into production environments using MLOps best practices.


• Monitor and maintain deployed models, retraining and updating them as necessary.


• Research and apply new machine learning techniques and algorithms to enhance predictive capabilities.


• Document model designs, methodologies, and results thoroughly.


• Contribute to the overall AI strategy and roadmap of the organization.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.


• 3+ years of hands‑on experience in machine learning engineering or data science roles, with a focus on predictive modeling.


• Strong proficiency in programming languages such as Python and libraries like Scikit-learn, Pandas, NumPy, and TensorFlow/PyTorch.


• Experience with SQL and database technologies for data extraction and manipulation.


• Solid understanding of statistical modeling, time-series analysis, and machine learning algorithms.


• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their ML services is a plus.


• Experience with MLOps tools and practices for model deployment and monitoring.


• Strong analytical and problem‑solving skills.


• Good communication skills for collaborating with cross-functional teams in Pretoria .

Benefits

• Competitive salary and performance-based bonuses.


• Comprehensive health insurance and retirement savings plan.


• Opportunities for professional development, training, and attending industry conferences.


• A hybrid work model offering flexibility and work-life balance.


• Access to advanced computational resources and datasets.


• A collaborative and innovative team environment focused on cutting-edge AI.


• Generous paid time off.


• Exposure to diverse and challenging predictive analytics projects.