TVS Next | Jobs | Deep Learning Engineer | BigDataKB.com | 31-03-22

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Job Location: Bangalore/Bengaluru

What you ll be doing

In this role, you ll:

  • Work on end-to-end data science lifecycle: from building proof-of concept models to production-ready models work with engineers to deploy them to production
  • Execute and take ownership of deep learning projects end-to-end. Good exposure to various deep learning algorithms and frameworks
  • Should be able to effortlessly switch between roles of an Individual Contributor, team member, and data science manager as demanded by each project
  • Figure out gaps in existing products and adding intelligence to improve it
  • Designing the frameworks in data sciences (R, Python, Azure ML, Amazon ML, Google ML, Spark etc) to be used for relevant projects
  • Keep updated on latest research in AI and deep learning and find ways in which it can be used to solve business problems
  • Must be able to read research papers (eg: some novel architectures, training techniques, etc.) and be able to implement it fully to solve our specific problems

. What we seek in you:

  • 5 years of strong experience in machine learning and 3 years of experience in production-level deep learning projects is a must
  • Expert user of Python
  • Hands-on experience in handling unstructured (image, video, audio) and build solutions using Deep Learning / Machine Learning
  • Experience in implementing object detection, GAN s. Knowledge of reinforcement learning is a plus.
  • Good grasp and detailed knowledge of any one deep learning library (PyTorch, Tensorflow, Caffe etc.) is a must
  • Experience with Data Visualization tools like Tableau, Microsoft Power BI and SiSense
  • Exposure to working on AI/Data Science/Analytics platforms like Microsoft AI, Amazon AI, IBM WATSON, H20, Knime
  • Strong business acumen to understand business objectives dynamics and possess excellent written and verbal communication skills for coordinating across teams
  • Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.
  • Experience in machine learning, supervised and unsupervised: Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Neural Networks, Deep Learning Algorithms.
  • Strong problem-solving skills.

Technical skills:

  • Good grasp and detailed knowledge of any one deep learning library (PyTorch, Tensorflow, Caffe etc.) is a must
  • Experience with Data Visualization tools like Tableau, Microsoft Power BI and SiSense
  • Exposure to working on AI/Data Science/Analytics platforms like Microsoft AI, Amazon AI, IBM WATSON, H20, Knime

Apply Here

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