Genpact Is Hiring For AI Engineering Internship | BE / BTech Fresher Graduates

About Company : Genpact (NYSE: G) is a global professional services firm that makes business transformation real. We drive digital-led innovation and digitally-enabled intelligent operations for our clients, guided by our experience running thousands of processes for hundreds of Global Fortune 500 companies. We think with design, dream in digital, and solve problems with data and analytics. We obsess over operations and focus on the details – all 78,000+ of us. From New York to New Delhi and more than 20 countries in between, Genpact has the end-to-end expertise to connect every dot, reimagine every process, and reinvent companies’ ways of working.

Job Title : AI Engineering Internship

Location : Bangalore

Job Description :

  • In this role, you will work closely with the Global Augmented Intelligence and Machine Learning teams to drive digital transformation for some of our biggest global clients
  • You will be expected to leverage your expertise in translating our customer’s business needs into a techno-analytic problem and appropriately work with a team of specialists to bring large scale AI solution to life.
  • The key responsibilities will include:
  • Creation of cutting-edge models to understand vast amounts of textual, numeric, graphic and speech data
  • Development and deployment of production-ready code
  • Designing framework for AI/ML code deployment to ensure robustness and reliability of production-ready models

Skills :

  • Exposure to statistical toolkits such as R, Weka, Python
  • Expert Python/R programming skills with Java programming skills being an added advantage
  • Proficiency in building, deploying and measuring predictive/prescriptive analytics models (i.e. SVM, decision tree, clustering, logistic regression, linear and non-linear regression, ANN, CNN, RNN)
  • Deep learning frameworks such as Tensor Flow, Keras, Torch, Theano
  • Knowledge of tooling frameworks like PyCharm or Jupyter
  • Strong team player and collaboration skills
  • The ability to work in a fast-paced development environment where priorities can shift on a dime
  • Can do attitude with the ability to learn new technology and concepts, analyze problems and propose creative solutions

Qualification : 

  • BTech in Computer Science/Computer Engineering, Information Technology, Electronics and communication
  • Academic course work in various levels of mathematics dealing with probability and statistics, Bayesian networking and graphical modelling, and coverage of deep learning and neural networks and cognitive science. One or more assignments completed in designing, building, training and deploying a model for a given area

Work Experience : Fresher

Apply : Click Here