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Lead Data Scientist
2 months ago
About the role:
- You will help design and build the next iteration of Here Places in Foundation Engineering employing machine learning.
- You will maintain up-to-date knowledge of research activities in the general fields of machine learning, specifically for map feature inference.
- Independently deliver innovative NLP/Gen AI solutions to solve some of the high impact / value projects.
- Utilize stochastic algorithms to solve and implement complex attribute engineering problems for Machine learning products.
- Participate in both algorithm and software developments as a part of a scrum team, and contribute artifacts (software, white-paper, datasets) for project reviews and demos.
- Collaborate with internal and external team members (researchers and engineers) on expertly implementing the new features to the products or enhancing the existing features. With end-to-tend aspects like developing, testing, and deploying.
You are determined and have the following to be successful in the role:
- Engineering or MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following:
- 7+ years of experience in Data Science field.
- Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised.
- Strong experience in natural language processing (NLP), Generative AI and its applications.
- Solid coding level in programming languages, like Python, R, and C++, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects.
Preferred Skills:
- Development experience on running ML models on AWS services such as EC2, lambda etc.