Senior AI Developer - Predictive Analytics

Placements24; Noord-Kaap; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Health benefits

Retirement planning

Professional development

Hybrid work model

Job summary

Placements24 is seeking a Senior AI Developer with expertise in predictive analytics to join our innovative client in Kimberley, Northern Cape. The role focuses on building and deploying advanced predictive models to drive business insights, with end-to-end responsibility from data prep to model deployment in a hybrid work setup.

You will collaborate with data scientists and analysts, optimize models for accuracy and scalability, and stay current with AI advancements while communicating results

Qualifications

• Master's or PhD in a quantitative field is required.
• Minimum 5 years of experience in predictive analytics.
• Strong proficiency with Python and ML libraries.
• Experience with SQL and large relational databases.

Responsibilities

• Design, develop, and implement advanced predictive models using machine learning techniques.
• Perform data analysis, feature engineering, and data preprocessing on large datasets.
• Train, validate, and deploy machine learning models for forecasting, classification, and regression tasks.
• Collaborate with data scientists and business analysts to understand requirements and translate them into technical solutions.
• Optimize model performance for accuracy, scalability, and efficiency.
• Develop and maintain robust code, ensuring quality, testability, and documentation.
• Stay current with the latest advancements in predictive analytics, machine learning, and AI.
• Monitor and retrain deployed models as needed to maintain performance.
• Present findings, insights, and model results to technical and non-technical stakeholders.
• Contribute to the development of best practices for predictive modeling and AI development.

Skills

Analytical thinking

Problem-solving

Strong communication

Team collaboration

Education

Master's or PhD in Computer Science, Statistics, Data Science, Mathematics, or related field

Tools

Python

scikit-learn

TensorFlow

PyTorch

XGBoost

SQL

Data Visualization

Job description

About the Role

Our client, a dynamic player in the AI & Emerging Technologies space, is seeking a Senior AI Developer with expertise in Predictive Analytics to join their innovative team. This position is based in Kimberley, Northern Cape , and focuses on building and deploying sophisticated predictive models that drive business insights and strategic decision-making. You will be responsible for the end-to-end development lifecycle of predictive analytics solutions, from data exploration and feature engineering to model training, validation, and implementation. This role offers a hybrid work arrangement, blending valuable in-office collaboration at our Kimberley facilities with the convenience of remote work, promoting a balanced and productive work environment. Join us to leverage data and AI to solve complex business challenges.

Key Responsibilities

• Design, develop, and implement advanced predictive models using machine learning techniques.
• Perform data analysis, feature engineering, and data preprocessing on large datasets.
• Train, validate, and deploy machine learning models for forecasting, classification, and regression tasks.
• Collaborate with data scientists and business analysts to understand requirements and translate them into technical solutions.
• Optimize model performance for accuracy, scalability, and efficiency.
• Develop and maintain robust code, ensuring quality, testability, and documentation.
• Stay current with the latest advancements in predictive analytics, machine learning, and AI.
• Monitor and retrain deployed models as needed to maintain performance.
• Present findings, insights, and model results to technical and non-technical stakeholders.
• Contribute to the development of best practices for predictive modeling and AI development.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Data Science, Mathematics, or a related quantitative field.
• 5+ years of experience in developing and deploying predictive analytics models in a professional setting.
• Strong proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
• Deep understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and working with large relational databases.
• Proficiency in data visualization tools and techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities, especially in a hybrid setting.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Familiarity with big data technologies (e.g., Spark) is beneficial.

Benefits

Our client offers a competitive salary, comprehensive health benefits, retirement planning support, and opportunities for continuous professional development. This role provides a chance to work on impactful predictive analytics projects in Kimberley , contributing directly to business success. The hybrid work arrangement ensures a healthy work-life balance. Join a team that values innovation, data-driven decision-making, and technological excellence. We offer a collaborative environment and the chance to grow your career.