Digital-Staff-Machine Learning Developer

Position Details

EY GDS Assurance Digital

You will be helping EY's sector and service line professionals by developing analytics-enabled solutions, integrating data science activities with business-relevant aspects to gain insight from data.

Machine Learning Developer

Requirements (including experience, skills, and additional qualifications)

• A bachelor's degree (

  BE/BTech/MCA & MBA

  ) in

  Computer Science, Engineering, Information Systems Management, Accounting, Finance

  or a related field with adequate industry experience.

Technical skills requirements

• Develop and implement machine learning models, including

  regression, classification

  (e.g.,

  XGBoost

  ,

  Random Forest

  ), and

  clustering techniques

  .
• Conduct

  exploratory data analysis (EDA)

  to uncover insights and trends within data sets.
• Apply

  dimension reduction techniques

  to improve model performance and interpretability.
• Utilize

  statistical models

  to design and implement effective business solutions.
• Evaluate and validate models to ensure robustness and reliability.
• Should have a solid background in

  Python

  .
• Familiarity with

  Time Series Forecasting

  .
• Basic experience with cloud platforms such as

  AWS, Azure, or GCP

  .
• Exposure to

  ML Ops tools

  and practices (e.g.,

  MLflow, Airflow, Docker

  ) is a plus.

Additional skill requirements:

• Proficient at quickly understanding complex

  machine learning concepts

  and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation.
• Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases.
• Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects.
• Demonstrates a strong

  analytical mindset

  and systematic approach to solving machine learning challenges.
• Excellent

  communication skills

  , able to present complex technical concepts clearly to both technical and non-technical audiences.

What we look for

• A

  team of people

  with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment.
• An opportunity to be a part of a market-leading, multi-disciplinary team of

  7200+ professionals

  , in the only integrated global assurance business worldwide.
• Opportunities to work with

  EY GDS Assurance practices

  globally with leading businesses across a range of industries.

What working at EY offers

EY

• You get to work with inspiring and meaningful projects.
• Our focus is

  education and coaching

  alongside practical experience to ensure your personal development.
• We value our employees, and you will be able to control your own development with an individual progression plan.
• You will quickly grow into a responsible role with challenging and stimulating assignments.
• Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange.
• Plus, we offer:
• Support, coaching, and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that's right for you.

About EY

assurance

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Join us in building a better working world.

Apply now

EY | Building a better working world