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Data Scientist - AI/ML

1.00 to 4.00 Years   Bangalore   05 Jan, 2021
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

Our CompanyChanging the world through digital experiences is what Adobe s all about. We give everyone from emerging artists to global brands everything they need to design and deliver exceptional digital experiences! We re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!ob DescriptionExcited by AI/ML Interested in creating new state-of-the-art solutions using Machine Learning. The Experience Intelligence R&D team in Bangalore is developing micro-services for delivering better personalisation, managing ad spends and generating content insights using AI/ML and data science at its core.As a part of this, we need experienced individuals focusing on research and development of methods for processing huge amount of content. What you get to do in this role:

  • Develop algorithms that utilize deep learning and traditional methods in NLP and computer vision
  • Create experiments, algorithms and prototypes that not only yield high-accuracy but are also designed and engineered to scale.
  • Collaborate across multiple research and engineering disciplines, making the tradeoffs required to rapidly deliver software solutions
In order to be successful in this role, we need someone who has:
  • 1-4 years in applying AI/ML principles to real world applications.
  • Broad NLP knowledge: tokenisation, part-of-speech tagging, dependency parsing, syntactic parsing, word sense disambiguation, topic modeling; contextual text mining, Word embedding
  • Broad Computer Vision knowledge:
    • Construction, Feature detection, Segmentation, Classification
    • object detection, tracking, localisation, classification, recognition, scene understanding
    • Face detection / alignment / recognition /tracking /attribute recognition/expression analysis.
    • Video stabilization/ denoising / super-resolution / stitching / enhancement
  • Broad Machine Learning experience - Algorithm Evaluation, Preparation, Analysis, Modeling and Execution.
  • Exposure to Deep Learning - CNNs, LSTMs, network architecture, network tuning, transfer learning, multi-task learning
  • Experience in using Tensorflow, Caffe and/or other neural network development frameworks.
  • Exposure to Open source NLP libraries e.g. NLTK, Regex, Stanford NLP, OpenNLP/CoreNLP
  • Exposure to AWS/Azure/GPU is a plus
,

Keyskills :
machine learningpythondata analysissqlanalyticsresearchdevelopmentword sense disambiguationopen sourcetext miningdata sciencedeep learningcomputer visionemerging artistscommercial models

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