Job Description

Responsibilities:

• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• Analysing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
• Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Defining validation framework and establishing a process to ensure acceptable data quality criteria are met
• Supervising the data acquisition and partnership roadmaps to create stronger products for our customers.
• Defining feature engineering process to ensure the usage of meaningful features given the business constraints which may vary by market
• Device self-learning strategies through analysis of errors from the models
• Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
• Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
• Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedback to project team members to enhance performance, support development, and encourage value-aligned behavior of the project team members;
• Provide inputs for periodic performance appraisal of project team members.
• Support migration of new processes/boundary change of existing processes; manage hiring/attrition, cross-training, and transition to ensure business continuity.