AI/ ML
1 month ago
Role:
-The role is to lead the AI team by designingand developing scalable solutions using AI tools.
-To turn business requirements into analyticalquestions effectively and provide meaningful recommendations.
-Perform research and testing to develop machinelearning algorithms and predictive models.
-Solution the Data Pipeline Management (DPM) forrespective Use-Cases.
-As a Lead AI Engineer, one needs to test, tune,integrate, package and monitor solutions throughout the ML Cycle.
-Guide the AI/ML Engineers on their daily tasksand help them solve any challenges they encounter technically.
-Come up with post production activities tomonitor the model decay, data drift and apply Retraining approaches to ensurerespective KPI’s are constantly met.
-Track daily progress from a solutionstandpoint. Identify risks and mitigate them.
Responsibilities:
-Deliver robust,well-tested, and fully documented modules to serve the use cases
-Learn and implementstate-of-the-art deep learning algorithms to support people and productassociation
-Collaborate withsystem architects, designers, and engineers to support the development ofrobust machine learning systems
-Continuously improvethe efficiency and robustness of existing modules
-Work with ProductManagement to prioritize feature development
-Work withengineering team to implement the entire application modules as discoverablemicroservices, experience hosting and deploying ML solutions
-Perform code reviewsand ensuring proper design and delivery
-Promote bestpractices and establishing team processes
-Identifyinfrastructure and architectural investment needs
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