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 : Computer Vision
Good to have skills : NA
Minimum 10 year(s) of experience is required
Educational Qualification : 15 years full time education

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 : Computer Vision, SSI: NON SSI: Good to Have Skills :SSI: No Technology Specialization NON SSI : Job Requirements :
Key Responsibilities :
A: Build predictive models, develop advanced algorithms that extract and classify information from large datasets quantify model performance
B: Evaluate emerging technologies that may contribute to our analytical platform Identify and exploit new patterns in data using various techniques
C: Work with product managers and engineers to deploy models into production
D: Good to have the knowledge in Insurance, Banking and Capital markets domains

Technical Experience :
A: 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
B: 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 environments

Professional Attributes :
Good in verbal, written communication

Educational Qualification:

Additional Info :

15 years full time education

Equal Employment Opportunity Statement

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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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