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 7.5 year(s) of experience is required
Educational Qualification : 15years fulltime of Education
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 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
Technical Experience : 1 Work with developers to integrate front end with backend,knowledge in Insurance, Banking and Capital markets domains 2 Strong coding ability in Python,R programming. Should know about crunching billions of datapoints for statistical modeling,data mining for insights and recommendation solutions
Professional Attributes : 1 Be a self starter and a fast learner 2 Possess strong problem solving skills with the ability to methodically analyze and resolve tech challenges 3 Possess strong written, verbal,comm,analyitical,tech,inter personal and presentation skills 4 Excellent exp in interaction and handling of clients
Educational Qualification : 15years fulltime of Education15years fulltime of Education
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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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