OneMap Senior / Lead Data Scientist
HERE
Mumbai,IN
4d ago

What's the role?

  • You will help design and build the next iteration of process automation in HERE Core Map processes 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.
  • Utilize computer vision and stochastic algorithms to solve and implement complex attribute engineering problems for Machine learning and deep learning based mobile frameworks and 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.

    Who are you?

    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 : deep learning, computer vision, machine learning, and optimization
  • 4+ years of experience in Data Science field
  • Proficient with atleast one of the deep learning frameworks like Tensorflow, Keras and Pytorch
  • Proficiency with atleast one of the edge deep learning inference engines like TFLite, CoreML, TensorRT
  • Programming experience with C++, shell script, Python, etc
  • Preferred Skills :

  • Development experience on running ML model on atleast one edge devices like NVIDIA Jetson, Coral etc and experience on Docker
  • What do we offer?

    We will support you in delivering your day to day tasks and achieving your personal goals and develop your skills. Personal development is highly encouraged at HERE.

    You can take different courses and trainings at our online University and join cross-functional team projects within our Talent Platform.

    Our office is located with easy access by public transportation options and offers great canteen facilities with extra attention to healthy food.

    HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

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