• Collaborate with stakeholders to identify business challenges and opportunities where AI can provide solutions.    

• Design and develop AI models, algorithms, and applications based on identified requirements and use cases.   

• Apply machine learning techniques to analyse and process large datasets to extract meaningful insights.   

• Implement data pre-processing, feature engineering, and model training and evaluation pipelines.   

• Conduct exploratory data analysis to gain a deep understanding of datasets and uncover patterns and trends.   
• Optimize and fine-tune AI models to improve accuracy, performance, and scalability.    

• Integrate AI models into existing systems and applications, ensuring seamless functionality and compatibility.    

• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to ensure successful project execution.   

• Document and communicate project progress, results, and insights to stakeholders in a clear and concise manner.   

• Stay up to date with the latest advancements in AI, machine learning, and related technologies, and apply them to enhance existing solutions. ​Choose an item.​

• The employee agrees to take over additional reasonable tasks that align with their abilities, if required
• Solid understanding of statistical analysis, data visualization, and exploratory data analysis.    

• Strong problem-solving skills and ability to translate business requirements into technical solutions. Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.

• Ability to learn quickly and adapt to new technologies and methodologies.

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