onsite
Lead Machine Learning Scientist
Machine Learning Scientist
The Lead Machine Learning Scientist will be responsible for implementing and evaluating predictive and prescriptive models, designing large-scale ML systems, and driving rapid experimentation of new POCs. This role requires a strong background in ML, DL, and RL, with experience in managing data science teams and stakeholders.
About the role
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:
- 6 - 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
Skills
predictive modellingMLDLRLexperimentation methodscausal inference methodsTensorFlowKerasPyTorch