SME Artificial Intelligence / Machine Language - Jaipur

6 years

0 Lacs

Posted:2 months ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Deloitte India is hiring for 6+ years of experience.

Notice Period - Immediate to 45 Days

Location : Jaipur


What impact will you make?


Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential


Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential.


The Team


Deloitte Digital is passionate and focused on helping clients tackle their most complex challenges. Learn how we help clients innovate, improve user experience, and maximize the value from customer operations by harnessing the breadth and depth of our digital capabilities.


Minimum Experience and Qualifications:

  1. Full time BE/BTech/ MCA
  2. Overall 10+ years of experience
  3. At least 3 years of experience in AI-ML technologies with IBM stack
  4. Have worked on at least

    3 projects

    on

    AI / ML / NLP

  5. Proficiency in programming languages such as Python or R.
  6. Hands on exposure in implementation and understanding of full life cycle of statistical techniques and AI-ML algorithms on all sort of data. (Structured, Un-Structured and Semi-Structured).


Roles and Responsibilities:

  1. Clean, preprocess, and analyze large datasets to identify trends, patterns, and anomalies.
  2. Conduct exploratory data analysis to uncover insights and inform decision-making.
  3. Design, develop, and implement predictive and prescriptive models using machine learning algorithms and statistical techniques.
  4. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
  5. Develop and deploy machine learning models for various applications, such as customer segmentation, predictive maintenance, and demand forecasting.
  6. Updated with the current industry trends and advancements in machine learning technologies.
  7. Collaborate with data engineers, software developers, and business stakeholders to integrate analytical solutions into operational processes.

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