Deloitte A&A -Data Scientist – AI POD Recruitment

Deloitte has announced a job opportunity for A&A -Data Scientist – AI POD. With this recruiting, you might make about approximately Rs. 40,000/- per month. Excellent opportunity for people looking for private job opportunities More details are given below.

Looking for private Jobs? Then refer to this careerbywell page. The link is at the end of the article for application. The last date of application isn’t given so apply ASAP.

About Deloitte

Deloitte Touche Tohmatsu Limited commonly referred to as Deloitte, is a British multinational professional services network headquartered in London, England. Deloitte is the largest professional services network by revenue and number of professionals in the world and is considered one of the Big Four accounting firms along with EY, KPMG, and PwC.

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Deloitte Recruitment 2023 Overview

Deloitte Qualifications Required

Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)

•  Proficiency with Python and pertinent libraries (e.g., NumPy, Pandas, Scikit-learn)
• Coursework in programming, deep learning, and machine learning
• Exhibited proficiency in writing higher-quality code
• Proven capacity to create machine learning models
• Proficient in both written and spoken communication

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Deloitte Specifically, you will be expected to

• Be a contributor to the planning and direction of a project and effectively prioritize your tasks and objectives
• Contribute to internal discussions on emerging machine-learning methodologies
• Develop, test, and deploy machine learning/AI models
• Collaborate daily with Data Science Managers and Senior Data Scientists to receive guidance and feedback on your work to develop your skills and ensure alignment with workstream objectives

Deloitte Preferred

• Experience in relevant fields such as internships, school jobs, etc.
• Knowledge of the Microsoft Azure cloud environment, encompassing Azure DevOps
• Understanding of the life cycles involved in developing machine learning models
• Knowledge of version control procedures and instruments (Git, etc.)
• Open AI projects you’ve worked on that are accessible on GitHub