Lead Data Scientist -Mumbai (NLP, GEN AI, Python, ML)

About the job HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our 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.

• 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:
• 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.

• Development experience on running ML models on AWS services such as EC2, lambda etc.