Job Description
Key Responsibilities Support in translating business needs - particularly within financial services domains such as marketing, risk, compliance and customer lifecycle management into well-defined machine learning problem statements and solution workflows.
Solve business problems using analytics and machine learning techniques: Conduct exploratory data analysis, feature engineering, and model development to uncover insights and predict outcomes.
Develop and deploy ML models, including supervised and unsupervised learning algorithms and model performance optimization.
Design and implement scalable, cloud-native ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch.
Collaborate with cross-functional teams to deliver robust and reliable solutions in cloud environments such as AWS, Azure, or GCP.
Be a master storyteller for your projects and deliverable using data-driven insights.
Stay current with developments in AI, ML modelling, and da...
Solve business problems using analytics and machine learning techniques: Conduct exploratory data analysis, feature engineering, and model development to uncover insights and predict outcomes.
Develop and deploy ML models, including supervised and unsupervised learning algorithms and model performance optimization.
Design and implement scalable, cloud-native ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch.
Collaborate with cross-functional teams to deliver robust and reliable solutions in cloud environments such as AWS, Azure, or GCP.
Be a master storyteller for your projects and deliverable using data-driven insights.
Stay current with developments in AI, ML modelling, and da...
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