• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 28th Nov 2022

 Responsibilities

• 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