Data ScienceNlpData ScientistNatural Language ProcessingNeural NetworksData MiningData CollectionMachine LearningDeep LearningPython
UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 28th Nov 2022
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending company s data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
research and innovation of state-of-the-art papers in NLP problems
Working with Backend Engineers to ship your models to production and publish research in top journals e.g.: NIPS, Arxiv and Nature
Skills and Qualifications
Proficiency in Python data science tools.
Experience in modern (DL) Deep Learning and Natural Language Processing / Natural Language Understanding (NLP, NLU), including Neural Networks, RNNs, seq2seq+attention models, and real world (ML) machine learning in TensorFlow.
Great communication skills
Experience with data visualisation tools, such as D3.js, GGplot, etc.
Proficiency in using query languages such as SQL, Hive or Pig.
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Experience building production-ready NLP systems
Familiarity with non-standard machine intelligence models (Reinforcement Learning, Hierarchical Temporal Memory, Capsule Networks) is a plus
Familiarity with Distributed systems (Docker, Kubernetes, Kafka, Spark, Redis, AWS S3/EC2/RDS/KMS, MongoDB, or Lucene) is a plus
Proficient understanding of code versioning tools such as Git, Mercurial or SVN, continuous integration tool like Jenkins.
Bachelor s degree or higher in a technical field of study