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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Machine Learning and Artificial Intelligence, with a strong focus on end-to-end model development in Python, including data exploration, feature engineering, and deployment. Proficient in Generative AI technologies and capable of delivering actionable insights through collaboration with stakeholders and mentoring team members.
Highest-signal resume keywords
Machine LearningArtificial IntelligencePython ProgrammingGenerative AIEnd-to-End ML Project Delivery
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
RegressionDecision TreesRandom ForestsClassificationClusteringNLPDeep LearningNeural NetworksARIMAStatistical Programming
Soft Skills
Strong Communication SkillsStakeholder ManagementMentoring
Tools & Technologies
Azure OpenAIAzure AI FoundryAWSGenAI Platforms
Certifications & Qualifications
Master’s Degree in Statistics/MathematicsBachelor’s/Master’s Degree in Science, Engineering, or MCA
Industry Keywords
Tax Application ExperienceAI/ML SolutionsData ExplorationFeature EngineeringModel Quality Evaluation
Tech Stack
Tools & technologiesAWSAzureCloudPython
About the role
Key responsibilities & impact- Apply machine learning techniques to deliver actionable insights
- Own end-to-end model development in Python, including data exploration, feature engineering, training, validation, and scoring on structured and unstructured data
- Design and build systems that mine massive datasets and structure or engineer them for machine learning models
- Apply AI and Machine Learning technology to solve real-world problems
- Apply standard statistical methods, simulation models, and statistical programming as needed
- Collaborate with business users and analysts to translate requirements into AI/ML solutions and present outcomes clearly
- Manage stakeholders and mentor team members in Machine Learning, AI, and best practices
- Design and implement Generative AI-enabled solutions including AI agents, APIs, and intelligent interfaces
- Integrate solutions with enterprise GenAI platforms such as Azure OpenAI and Azure AI Foundry
- Perform LLM fine-tuning and optimization, including parameter-efficient tuning and systematic evaluation of model quality, latency, and production cost
- Design production-grade prompts and GenAI systems using prompt templating, chaining, RAG pipelines, guardrails, and reliability patterns
- Work with EY partners, clients, tax technical subject matter experts, business users, and analysts to develop technology solutions for Tax
- Provide solution architecture, application development, testing, and maintenance support to the global Tax service line
Requirements
What you’ll need- Overall experience of 5+ years, including 3+ years of hands-on experience in Machine Learning and Artificial Intelligence
- Strong hands-on experience with regression, decision trees, random forests, classification, clustering, NLP/NLG, deep learning, neural networks, and ARIMA
- Proven experience delivering end-to-end ML projects from development to production
- Expert proficiency in Python, with strong programming, algorithmic, and database skills
- Strong understanding of Generative AI and LLM technologies, including prompt engineering and enterprise LLM integration
- Master’s degree in Statistics/Mathematics from a reputed college OR Bachelor’s/Master’s degree in Science, Engineering, or MCA
- Hands-on involvement across the design, development, testing, and deployment of AI/ML solutions
- Tax application experience
- Exposure to cloud platforms such as Azure or AWS would be good to have
- Strong verbal and written communication skills
Benefits
Comp & perks- Continuous learning and development opportunities
- Tools and flexibility to make a meaningful impact
- Insights, coaching and confidence-building through transformative leadership
- Diverse and inclusive culture
- Opportunities to collaborate with global EY teams and work on exciting projects
- Exposure to an expanding ecosystem of people, learning, skills and insights
- Opportunities to work with EY TAS practices globally and leading businesses across industries