Job Description

Key ResponsibilitiesMachine Learning & Predictive Modeling

Design, develop, and deploy machine learning models for classification, regression, clustering, and forecasting Build predictive models to solve business problems (customer churn, demand forecasting, risk assessment, etc.) Perform feature engineering and selection to optimize model performance Conduct model validation, testing, and performance tuning Implement ensemble methods and advanced modeling techniques Monitor model performance in production and implement retraining strategies
Advanced Analytics & Statistical Analysis

Apply statistical methods to analyze complex datasets and test hypotheses Conduct A/B testing and experimental design Perform time series analysis and forecasting Use causal inference techniques to understand business drivers Develop recommendation systems and personalization algorithms Apply optimization techniques to business problems
AI/ML Solution Development

Build end-to-end machine learning pipelines from data ingestion to deployment Develop and deploy models using cloud ML platforms (Azure ML, AWS SageMaker, Google Vertex AI) Create APIs and services for model inference Implement automated ML (AutoML) workflows where appropriate Work with large language models (LLMs) and generative AI for business applications Develop computer vision solutions for image and video analysis
Data Engineering & Pipeline Development

Extract, transform, and prepare large datasets for analysis and modeling Build scalable data pipelines for ML workflows Work with big data technologies (Spark, Databricks) when needed Implement data quality checks and validation processes Optimize data storage and retrieval for ML applications Collaborate with data engineers on infrastructure requirements
Research & Innovation

Stay current with latest developments in machine learning and AI Experiment with new algorithms, frameworks, and techniques Evaluate emerging technologies for client applications Conduct proof-of-concept projects for new ML capabilities Contribute to AxonSphere's AI/ML methodology and best practices Share knowledge through documentation and team presentations
Client Engagement & Communication

Translate business problems into data science solutions Communicate complex technical concepts to non-technical stakeholders Present findings, insights, and model results effectively Collaborate with clients to understand their data and objectives Provide guidance on AI/ML strategy and opportunities Build trusted relationships through delivering value and insights
Visualization & Reporting

Create compelling visualizations of model results and insights Build interactive dashboards for model monitoring and explainability Develop reports that explain model predictions and recommendations Communicate uncertainty and model limitations appropriately
Job Type: Temporary
Contract length: 3 months

Pay: R15000,00 - R30000,00 per month

Work Location: On the road