AI/ML Engineer - Predictive Analytics

Placements24; Mossel Bay; Hybrid; ZAR 700,000 - 950,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Hybrid work in Mossel Bay

Job summary

Placements24 is seeking an AI/ML Engineer specializing in Predictive Analytics to join our Mossel Bay team. You will design, train, and deploy ML models that forecast business outcomes and drive decision-making in a collaborative environment.

In this hybrid role, you will work across the full ML lifecycle, from data exploration and feature engineering to model validation and production deployment, leveraging Python, Scikit-Learn, TensorFlow/PyTorch, and cloud platforms.

Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or related quantitative field.
• 3+ years of experience in developing and deploying ML models.
• Proficiency in Python and common ML libraries (Scikit-learn, Pandas, NumPy).
• Experience with deep learning frameworks (TensorFlow, PyTorch) is a plus.
• Strong understanding of statistical modeling, regression, classification, and time-series analysis.
• Experience with data visualization tools and techniques.
• Familiarity with SQL and database technologies.
• Experience with cloud platforms (AWS, Azure, GCP) is advantageous.
• Strong analytical and problem-solving skills.
• Effective communication skills for a hybrid team in Mossel Bay, Western Cape.

Responsibilities

• Design, develop, and deploy ML models for predictive analytics, forecasting, and classification tasks.
• Analyze large datasets to identify trends and insights relevant to business objectives.
• Implement feature engineering to enhance model performance.
• Build and maintain ML pipelines for training, evaluation, and deployment.
• Collaborate with data scientists and analysts to translate requirements into technical solutions.
• Stay current with AI/ML advancements, especially predictive modeling and time-series analysis.
• Perform rigorous model validation and testing for accuracy and reliability.
• Communicate findings and model insights to technical and non-technical stakeholders.
• Optimize model performance for scalability and efficiency.
• Contribute to continuous improvement of data science and ML practices in Mossel Bay.

Skills

Python

ML libraries

Data visualization

Time-series analysis

Communication skills

Problem solving

Cloud platforms

Education

Bachelor's or Master's in CS/Statistics/Data Science

Tools

Scikit-learn

Pandas

NumPy

TensorFlow

PyTorch

Job description

About the Role

Our client, a dynamic tech firm at the forefront of data-driven innovation, is seeking a talented AI/ML Engineer specializing in Predictive Analytics to join their team in Mossel Bay, Western Cape . This role is central to developing and deploying sophisticated machine learning models that provide actionable insights and drive business decisions. You will be involved in the entire ML lifecycle, from data exploration and feature engineering to model training, validation, and implementation. The ideal candidate will possess a strong foundation in statistical modeling, machine learning algorithms, and experience with relevant programming languages and tools. This is an exciting opportunity to work with cutting-edge technologies and contribute to impactful projects in a collaborative and stimulating environment. The hybrid model ensures a balance between team synergy and individual focus, based in our Mossel Bay, Western Cape office.

Key Responsibilities

• Design, develop, and deploy machine learning models for predictive analytics, forecasting, and classification tasks.


• Analyze large, complex datasets to identify trends, patterns, and insights relevant to business objectives.


• Implement feature engineering techniques to enhance model performance.


• Build and maintain robust ML pipelines for model training, evaluation, and deployment.


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


• Stay current with the latest advancements in AI/ML, particularly in predictive modeling and time-series analysis.


• Perform rigorous model validation and testing to ensure accuracy and reliability.


• Communicate findings and model insights effectively to both technical and non-technical stakeholders.


• Optimize model performance for scalability and efficiency.


• Contribute to the continuous improvement of our data science and ML practices in Mossel Bay, Western Cape .

Requirements

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


• 3+ years of experience in developing and deploying machine learning models.


• Proficiency in Python and common ML libraries (e.g., Scikit-learn, Pandas, NumPy).


• Experience with deep learning frameworks (TensorFlow, PyTorch) is a plus.


• Strong understanding of statistical modeling, regression, classification, and time-series analysis.


• Experience with data visualization tools and techniques.


• Familiarity with SQL and database technologies.


• Experience with cloud platforms (AWS, Azure, GCP) is advantageous.


• Strong analytical and problem-solving skills.


• Effective communication skills, essential for our hybrid team in Mossel Bay, Western Cape .

Benefits

Our client offers a competitive salary and benefits package, including health insurance and retirement savings options. Employees benefit from a stimulating work environment, opportunities for professional development, and access to advanced technologies. The hybrid work arrangement in Mossel Bay, Western Cape allows for a flexible work-life balance. We foster a culture of innovation and collaboration, encouraging continuous learning. Join our team and contribute to impactful predictive analytics projects that drive business success.