Digital Staff Machine Learning Developer

As a Machine Learning Developer at EY GDS Assurance Digital, you will have the opportunity to leverage advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. Your primary responsibility will be to help EY's sector and service line professionals by developing analytics-enabled solutions, integrating data science activities with business-relevant aspects to gain insights from data. This full-time role entails building and deploying robust machine learning models to solve real-world business problems, involving the entire ML lifecycle from data analysis and feature engineering to model training, evaluation, and deployment. Key Responsibilities: - Develop and implement machine learning models - Conduct exploratory data analysis (EDA) and apply dimension reduction techniques - Utilize statistical models for evaluation and validation - Have a solid background in Python programming - 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) Qualifications Required: - Bachelor's degree in Computer Science, Engineering, Information Systems Management, Accounting, Finance, or a related field - Adequate industry experience - Proficiency in quickly understanding complex machine learning concepts and utilizing technology for data modeling, analysis, visualization, and process automation - Ability to select and apply suitable standards, methods, tools, and frameworks for specific ML tasks and use cases - Capability to collaborate effectively within cross-functional teams and work independently on complex ML projects - Strong analytical mindset and systematic approach to solving machine learning challenges - Excellent communication skills for presenting technical concepts clearly to both technical and non-technical audiences Join EY in building a better working world, where personal development, skill advancement, and career progression opportunities await. Be part of a diverse team of professionals dedicated to creating long-term value for clients, people, and society while fostering trust in the capital markets. Apply now to be a part of the journey towards a better future.,