Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Natural Language Processing (NLP)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Additionally, you will apply GenAI models as part of the solution, which may include deep learning, neural networks, chatbots, and image processing. Your role will involve developing cutting-edge AI solutions and contributing to the advancement of technology in this field.
Roles & 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
Professional & Technical Skills:
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
Good in communication Good in Team handling
Additional Information:
– A 15 years full-time education is required.
15 years full time 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.
Accenture is committed to providing veteran employment opportunities to our service men and women.
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