AI / ML Engineer Full-time

Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.
Must have skills : Natural Language Processing (NLP)
Good to have skills : NA
Minimum 10 year(s) of experience is required
Educational Qualification : BE

Project Role :
AI Platform Engineer

Project Role Description :
Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.

Must have Skills :
Natural Language Processing (NLP)

Good to Have Skills :
No Technology Specialization

Job Requirements :
Key Responsibilities :
1 Build predictive models, develop advanced algorithms that extract and classify information from large datasets quantify model performance 2 Evaluate emerging technologies that may contribute to our analytical platform Identify and exploit new patterns in data using various techniques 3 Work with product managers and engineers to deploy models into production 4 Work with developers to integrate front end with backend Good to have the knowledge in Insurance, Banking and Capital markets domains

Technical Experience :
1 strong coding ability and familiarity with Python/R programming languagesRelevant experience, passionate about applications in data:crunching billions of datapoints for statistical modeling,data mining for insights and recommendation solutions 2 Worked with ML data mining toolkits like NLP,Semantic Web,R,Core NLP,NLTK etcInformation retrieval libraries like Lucene/SOLR fast paced,test driven, collaborative and iterative programming env 3 Analyze data,develop robust statistical algorithms/model

Professional Attributes :
Good in communication Good in Team handling

Educational Qualification:
BE

Additional Info :

BE

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Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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