General Information

Req #
WD00034533
Career area
Künstliche Intelligenz
Country/Region:
Indien
State:
Karnataka
City:
BANGALORE
Date:
Donnerstag, Juli 7, 2022
Working time:
Full-time
Additional Locations: 

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$62 billion revenue global technology powerhouse, ranked #217 in the Fortune Global 500, employing 77,000 people around the world, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver smarter technology for all, Lenovo has built on its success as the world’s largest PC company by further expanding into growth areas that fuel the advancement of ‘New IT’ technologies (client, edge, cloud, network, and intelligence) including server, storage, mobile, software, solutions, and services.

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Job Description (English)

Responsibilities

  • Understand the company’s goals and challenges and plan AI strategies
  • Conduct research and development processes for AI strategies
  • Collaborate with cross-functional teams to identify areas where AI application can stimulate business growth
  • Develop an efficient prototype
  • Should have worked on AI Specific Solution - Chatbox, Computer vision, Image processing, Deep Learning
  • Perform recurring jobs, like AI strategy assessment, automation market, etc.
  • Perform tests and troubleshoot issues before final delivery
  • Stay up-to-date on the latest AI emergences relevant to the business domain

Mandatory Skills Required

  • Bachelor’s/Master’s degree in computer science, computer engineering, or relevant field with at least 7+ years of experience in formulating and strategizing AI solutions and AI based chatbots
  • Proven experience in applying AI to practical and all-inclusive technology solutions
  • Hands-on knowledge in machine learning, deep learning, Tensorflow, Python or Scala, NLP
  • Understanding of functional design principles, object-oriented programming principles, basic algorithms
  • Excellent knowledge in statistical techniques and advanced machine learning algorithms - regression, classification, clustering, time series, decision trees, text analytics, deep learning, NLP etc.

Additional Locations: 
Go back