Natural Language Processing (NLP) AI Platform Engineer
Location not specified · 8–10 yrs
Experience
8–10 yrs
Salary
Not disclosed
Location
Location not specified
Work mode
Not specified
Job type
Full-time
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Closing date not listed
Posted
14 May 35
About this role
About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song-all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at accenture.com
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.
Management Level :8
Work Experience :8-10 years
Work location :Bengaluru
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
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