EY

Associate - Machine Learning Engineer

Job description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.


Job Summary


Global Delivery Services (GDS) is a driving force behind EY’s globalization – currently incorporating Procurement, Talent, Finance and Accounting, IT, Risk management, Talent, Creative Agency, Learning Solutions and Program Execution Services – it aims to achieve effectiveness and efficiency in order to provide sustainable value and is at the core of EY’s most notable transformation projects.


Accountabilities

  • Executes relevant data wrangling activities related to the problem in order to create dataset
  • Conduct ML experiments to understand the feasibility and build baseline models to solve the business problem
  • Fine tune the baseline model for optimum performance
  • Test Models internally per acceptance criteria from business
  • Document relevant Artefacts for communicating with the business
  • Work with product teams in planning and execution of new product releases.
  • Work with cross functional teams - business technology and product teams to understand the product vision; building ML solutions that provides value to the product


Competencies/ skills

  • 2-3 years experience in machine learning & analytics
  • Expertise in machine learning model building lifecycle
  • Clear understanding of various ML techniques with appropriate use to business problems
  • A strong background of statistics and Mathematics
  • Expertise in one of the domains – Computer Vision Language Understanding or structured data
  • Experience in executing collaboratively with engineering design user research teams and business stakeholders
  • Experience with data wrangling techniques preprocessing and post processing requirements for ML solutions
  • Good knowledge python and deep learning frameworks like Tensorflow Pytorch Caffe
  • Familiar with the machine learning model testing approaches

Other skills

  • Technically strong with the ability to connect the dots
  • Ability to communicate the relevance of technology to the stakeholders in a simple relatable language
  • Curiosity to learn more about new business domains and Technology Innovation
  • An empathetic listener who can give and receive honest thoughtful feedback


Education

BE/MBA/Pursuing if immediate


EY | Building a better working world


EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.


Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.


Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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