Key skills
PythonGenerative AI modelsOpenAIDall-eLangchainRetrieval Augmented Generation (RAG)scikit-learnPyTorchNatural language processingDeep learningDevOps toolsGITAzure DevOpsAgile methodologiesJiraCI/CD pipelinesMLOpsData ingestionData transformationModel retrainingModel monitoringData structuresData modelingMathematicsStatisticsOperations researchSQLPandasSparkTechnical Design OptimizationClient trustRelationship-buildingJavaScriptJavaC++CRAIMachine LearningMLDeep LearningNatural Language ProcessingGenerative AIRAGLangChainAzureGitAgileCI/CDCommunicationNegotiation
About this role
EY is a global leader in assurance, consulting, strategy and transactions, and tax services. They are seeking a Manager in AI & Machine Learning Engineering to lead innovative solutions that drive business success by applying cutting-edge technology and techniques to solve complex problems for clients. The role involves managing teams, engaging with clients, and delivering high-quality AI and data science solutions.
Responsibilities:
- Leading workstream delivery and ensuring the effective management of processes and projects
- Continuously improving processes by identifying innovative solutions through research and analysis
- Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results
- Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure
- Identifying opportunities for additional services and managing engagement economics
Requirements:
- A Bachelor's degree required (4-year degree)
- 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning
- 2-4 years of experience directly managing technical teams
- Strong skills in Python
- Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams
- Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform
- Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch
- Experience with natural language processing and deep learning
- Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
- Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation
- Experience with model retraining and feedback loop methodologies
- Experience with model and solution monitoring and reporting
- Understanding of data structures, data modelling and software engineering best practices
- Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
- Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements
- Skills in Technical Design Optimization
- Strong relationship-building skills
- Demonstrated client trust and value
- Digital fluency and emotional agility
- Commercial acumen and negotiation skills
- Proven ability to lead teams and manage change
- A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
- Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field
- Experience working with diverse teams to deliver complex solutions
- Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
- Experience fine-tuning Generative AI models
- Experience in managing complex projects with multiple stakeholders
- A strong understanding of industry trends and emerging technologies
- Skills in data visualization and storytelling with data
- Experience with image processing techniques and/or speech and audio processing and analysis