Ai/Ml Scientist

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 curren...