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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing advanced AI models and systems, with a strong focus on machine learning, deep learning, and Generative AI techniques. Proficient in building scalable AI capabilities and applying trusted AI practices to ensure fairness and accountability.
Highest-signal resume keywords
AI Model DesignMachine Learning ProficiencyPython ProgrammingCloud Platform ExperienceAPI Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningGenerative AINatural Language ProcessingPythonTensorFlowPyTorchPandasScikit-LearnAI Model Monitoring
Soft Skills
Communication SkillsInterpersonal SkillsCollaboration
Tools & Technologies
LangChainLangGraphDockerKubernetesGitFlaskFastAPIAzureAWSMonitoring Tools
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science
Industry Keywords
AI ArchitecturesAI PipelinesTrusted AI PracticesFairnessTransparencyAccountability
Tech Stack
Tools & technologiesAWSAzureCloudDockerFlaskKubernetesPandasPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Design and implement advanced AI models and systems
- Develop new AI approaches and solutions
- Experiment with cutting-edge AI architectures
- Drive innovation across business use cases
- Leverage frameworks such as LangChain, LangGraph and agentic AI technologies
- Develop scalable and high-impact AI capabilities
- Apply trusted AI practices to promote fairness, transparency and accountability
- Build and manage AI pipelines using Docker, Kubernetes and Git
- Implement monitoring and logging to ensure AI model performance and reliability
- Build APIs using Flask, FastAPI or similar
- Collaborate with EY teams across service lines, geographies and sectors
Requirements
What you’ll need- Minimum 2 years of experience in Data Science and Machine Learning
- Knowledge of machine learning, deep learning, and Generative AI (GenAI) techniques
- Proficiency in Python and frameworks such as TensorFlow, PyTorch, Pandas or Scikit-Learn
- Understanding of NLP techniques including tokenization, string comparison and embeddings
- Experience with cloud platforms such as Azure or AWS
- Good communication and interpersonal skills, with ability to collaborate effectively with a team
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Familiarity with trusted AI practices, Docker, Kubernetes, Git, monitoring and logging tools, and API building using Flask, FastAPI or similar
Benefits
Comp & perks- Continuous learning and development opportunities
- Tools and flexibility to make a meaningful impact
- Coaching and leadership development
- Diverse and inclusive culture
- Collaboration with global EY teams on exciting projects
- Exposure to learning, skills and insights across EY’s global network