Machine Learning Developer-Digital Staff Job in Chennai at EY (Ernst & Young)

EY is hiring for the role of Machine Learning Developer-Digital Staff!

Responsibilities of the Candidate:

• You will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value.
• 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.
• This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment.

Requirements:

• 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 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.