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 : Natural Language Processing (NLP)
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : BE

Summary:
As an AI Platform Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, and natural language processing. Your typical day will involve working with NLP, developing and deploying AI models, and collaborating with cross-functional teams.

Roles & Responsibilities:
-Build predictive models, develop advanced algorithms that extract and classify information from large datasets quantify model performance
– Evaluate emerging technologies that may contribute to our analytical platform Identify and exploit new patterns in data using various techniques
– Worked with ML data mining toolkits like NLP, Semantic Web, R, Core NLP, NLTK etc. Information retrieval libraries like Lucene, SOLR fast paced, test driven, collaborative and iterative programming environment.

Professional & Technical Skills:
– Work with developers to integrate front end with backend, knowledge in Insurance, Banking and Capital markets domains
– Strong coding ability in Python, R programming. Should know about crunching billions of datapoints for statistical modeling, data mining for insights and recommendation solutions.

Additional Information:
– The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful AI-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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