Machine Learning Engineer - Predictive Analytics

Placements24; Polokwane; Vor Ort; ZAR 600.000 - 900.000; Vollzeit

Benefits dieser Stelle

Health insurance

Retirement benefits

Professional development opportunities

Zusammenfassung

Placements24 in Polokwane is seeking a Machine Learning Engineer to develop predictive analytics models and data-driven solutions. You will work with large datasets, building pipelines and deploying models for forecasting and anomaly detection.

The ideal candidate will have 2+ years in ML or data science, strong statistical knowledge, and proficiency in Python, with experience in TensorFlow/PyTorch and big data tools. This role emphasizes collaboration and impact.

Qualifikationen

• Bachelor's or Master's in a quantitative field.
• 2+ years of professional ML engineering or data science experience.
• Strong background in statistical modeling, regression, classification and time-series analysis.
• Proficiency in Python and ML libraries (Pandas, NumP…, Scikit-learn).
• Experience with deep learning frameworks is a plus.
• Familiar with data warehousing, SQL and big data technologies.
• Ability to work with large datasets and strong problem-solving skills.
• Good communication and collaboration abilities.

Aufgaben

• Design, build, and deploy ML models for predictive analytics, forecasting, and anomaly detection.
• Collaborate with data scientists and analysts to translate business needs into technical specs.
• Clean, preprocess, and engineer features from large datasets.
• Develop data pipelines for model training and inference.
• Evaluate modeling techniques and monitor deployed models, retraining as needed.
• Work with Python and libraries like Scikit-learn, TensorFlow, or PyTorch.
• Handle big data technologies and database systems.
• Document models, methodologies, and results.

Ausbildung

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science

Tools

Python

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

SQL

AWS

Azure

GCP

Jobbeschreibung

About the Role

Our client, a dynamic leader in data analytics and business intelligence, is seeking a talented Machine Learning Engineer specializing in predictive analytics to join their team in Polokwane . This role is central to developing and deploying sophisticated models that forecast trends, identify opportunities, and mitigate risks for our diverse clientele. You will work with large datasets, applying advanced ML techniques to extract valuable insights and build data-driven solutions. The ideal candidate will have a strong foundation in statistical modeling, machine learning algorithms, and programming, combined with a passion for solving complex business problems with data. This is an exciting opportunity to contribute to impactful projects in a growing field.

Key Responsibilities

• Design, build, and deploy machine learning models for predictive analytics, time-series forecasting, and anomaly detection.
• Collaborate with data scientists and business analysts to define project requirements and translate business needs into technical specifications.
• Clean, preprocess, and engineer features from large and complex datasets.
• Develop and implement robust data pipelines for model training and inference.
• Evaluate and compare different modeling techniques to select the most appropriate solutions.
• Monitor the performance of deployed models and retrain or update them as necessary.
• Utilize programming languages such as Python and libraries like Scikit-learn, TensorFlow, or PyTorch.
• Work with big data technologies (e.g., Spark, Hadoop) and database systems.
• Document models, methodologies, and results thoroughly.
• Stay updated on the latest advancements in machine learning and predictive analytics.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• 2+ years of professional experience in machine learning engineering or data science, with a focus on predictive modeling.
• Strong understanding of statistical modeling, regression techniques, classification algorithms, and time-series analysis.
• Proficiency in Python programming and experience with ML libraries (e.g., Pandas, NumP…, Scikit-learn).
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Familiarity with data warehousing, SQL, and big data technologies.
• Ability to work with large datasets and perform data manipulation and analysis.
• Strong problem-solving, analytical, and critical thinking skills.
• Good communication and collaboration abilities.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services is beneficial.

Benefits

Our client offers a competitive salary, comprehensive health insurance, and retirement benefits. Professional development is supported through training programs, opportunities to attend workshops, and access to cutting-edge tools. The company culture in Polokwane emphasizes collaboration, innovation, and a commitment to delivering data-driven insights. Join us and make a significant impact on how businesses leverage predictive intelligence.