AI​/ML and Data Science Developer

Key responsibilities :

• Design, develop, and deploy AI / ML models and solutions, including LLMs and GenAI.
• Perform feature engineering and selection to optimize model performance.
• Select and implement appropriate AI / ML algorithms, including supervised, unsupervised, and reinforcement learning models.
• Deploy models to production environments, ensuring robustness and scalability.
• Monitor model performance and define strategies for identifying drift; retrain or refine models as needed.
• Collaborate with cross-functional teams to integrate AI / ML models with business applications and systems.
• Train, evaluate, and optimize models using machine learning and statistical techniques.
• Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI / ML applications.
• Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets.
• Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making.
• Stay updated on the latest advancements in AI / ML and data science technologies.
• Develop and maintain comprehensive documentation for AI / ML pipelines, data workflows, and analytical processes

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