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Data Scientist Artificial Intelligence

6.00 to 8.00 Years   Gurugram   12 Oct, 2023
IBM India Pvt Limited
Job LocationGurugram
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    IntroductionIn this role, you ll work in our IBM Client Innovation Center (CIC), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. These centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology As a Data Scientist at IBM, you will help transform our clients data into tangible business value by analysing information, communicating outcomes and collaborating on product development. Work with Best-in-Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.Your Role and Responsibilities
    • Ability to take full ownership and deliver component or functionality.
    • Supporting the team to deliver project features with high quality and providing technical guidance.
    • Responsible to work effectively individually and with team members toward customer satisfaction and success.
    Required Technical and Professional Expertise
    • You must have BE / B.Tech / MCA / ME / M.Tech qualification with 6 years of confirmed ability
    • Strong Communication Skills.
    • Experience in NLP , ML and deep Learning Techniques.
    Preferred Technical and Professional Expertise
    • Experience with frameworks like LLM s (ChatGPT), RASA.
    • Exposure to Deep learning frameworks like Pytorch and Tensorflow.
    • Experience with Statistical evaluation of models and data governance to support Model Audits.
    ,

Keyskills :
machine learningpythondata analysissqlanalyticsopen sourcedeep learningprivate sectordata governancework effectivelycustomer satisfactionnlpweatherbusinessfeaturesadoptionownership

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