AI / ML Engineer Full-time

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 : Computer Vision
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : BE

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: BE

Additional Information:
– The candidate should have a minimum of 7.5 years of experience in Computer Vision.
– The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions.

BE

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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