Your Role:

• Implementing appropriate success metrics, driving rapid experimentation of new POCs and presenting the impacts to stakeholders
• Driving knowledge sharing sessions within and across teams while maintaining continuous feedback channels with teammates to ensure building growth paths
• Owning respective services by following best practices in service maintainability, understanding and acting on the risks and opportunities involved
• Prioritising roadmaps while balancing impact, effort, resources and team's requirements to complete initiatives within committed timelines
• Developing and evaluating predictive and prescriptive models using appropriate mathematical methods like supervised and unsupervised learning, frequentist statistics, estimation methods
• Designing large-scale ML systems with advanced ML frameworks like TensorFlow/Keras/PyTorch for training and inferencing at scale
• Ensuring cross team alignment towards business/project goals by driving visibility of initiatives, managing conflicts, and highlighting implementation blocks

Qualifiers:

• 5 - 10 years of experience in building and maintaining ML solutions at scale
• Proficient in predictive modelling (ML,DL/RL) and experimentation/causal inference methods
• Atleast 1 year of experience in managing team of data scientists and handling cross functional stakeholders
• Proven track record of designing end to end ML systems which can handle the scale