EY Artificial Intelligence- Senior in Bangalore, India

Artificial Intelligence- Senior

Advisory

Requisition # BLR00129

Post Date 6 days ago

Job Description- Artificial Intelligence/Advanced Analytics

Summary

  • A very strong candidate with expertise in building statistical models, machine learning models, cognitive solutions, chatbots, video analysis, text analytics from scratch.

  • Should be comfortable working with unstructured data

  • Develop predictive modelling solutions and work with business to provide analytical support in analysing the data and developing the statistical models for different requirements

Job Description

This position will be responsible for working hands-on on artificial intelligence/advanced analytics. The requirements are:

  • Manage client’s expectations and work independently in developing the AI/ML/AA solution.

  • Hands on involvement in extracting, collating, performing data integrity checks, manipulating and analysing data

  • Hands on involvement in suggesting and building an appropriate algorithm involving machine learning, natural language processing, computer vision and other areas of cognitive science

  • Thought leadership (Manager) and proactive involvement in identifying industry problems and developing innovative solution as per the expectation of stakeholders

  • Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making.

Skill Requirement

  • A desirable candidate should have following no. of years of experience - Senior (5-8 yrs)

  • A strong quantitative background, excellent communication skills (written, verbal) and excellent presentation skills are necessary.

  • Should have completed >2 end-to-end implementations in AI/AA space

  • Should have hands-on experience in handling unstructured large datasets and should be familiar with different machine learning algorithm

  • Big data

  • Programming ability using any of the statistical tool is must- SAS, R, Python, pyspark

  • The candidate should have a graduate in engineering or Masters/Ph. D. degree in mathematics/statistics/economics or MBA (with strong quantitative background).

  • The candidate must have excellent inter-personal skills, presentation & documentation skills, flexibility & adaptability and ability to work in a team environment.

  • Domain specific knowledge in any of the industry vertical (Lifescience, Health, Power & Utility, Retail & CPG, banking, insurance) is an added advantage.

  • A team player and demonstrated ability / experience in client relationship management for at least two years are required.