Mumbai, Maharashtra, India Post Date: September 16, 2023 Full Time
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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.