Qualifications :
- Min 3+ yrs (in ML / Research) of experience in statistical modeling, machine learning, data mining, unstructured data analytics
- Hands-on experience in developing and deploying models in multiple ML areas like Computer-Vision, NLP, etc
- Knowledge of Cloud-environments like GCP/AWS and ML frameworks like TensorFlow/PyTorch, with good experience in large scale distributed training
- Proficiency in using query languages
- Excellent coding skills and flexible mindset, with the ability to quickly switch between & adapt to newer concepts
- Prior R&D experience, and/or publications at top-tier ML conferences will be a huge advantage
- Good to have- Master's degree or Ph.D. in Computer Science, Information management, Statistics or related field
Role Responsibilities :
- Generate and work with large, complex data sets. Solve difficult, non-routine ML problems, applying advanced analytical methods as needed.
- Build and prototype analysis pipelines iteratively at scale. Develop comprehensive knowledge of algorithms, data structures, and metrics, advocating for changes where needed for product development.
- Interact cross-functionally, making business recommendations at multiple levels of stakeholders through visual displays of quantitative information.
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