[Remote] AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN Job Details | EY
Note: The job is a remote job and is open to candidates in USA. 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.ResponsibilitiesLeading workstream delivery and ensuring the effective management of processes and projectsContinuously improving processes by identifying innovative solutions through research and analysisManaging professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and resultsEngaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closureIdentifying opportunities for additional services and managing engagement economicsSkillsA 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 Learning2-4 years of experience directly managing technical teamsStrong skills in PythonAbility lead, collaborate, and communicate effectively with diverse, hybrid and global teamsExperience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platformProficient 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 PyTorchExperience with natural language processing and deep learningExtensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutionsExperience with MLOps and ML workflows, including data ingestion, transformation, and evaluationExperience with model retraining and feedback loop methodologiesExperience with model and solution monitoring and reportingUnderstanding of data structures, data modelling and software engineering best practicesStrong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniquesExcellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagementsSkills in Technical Design OptimizationStrong relationship-building skillsDemonstrated client trust and valueDigital fluency and emotional agilityCommercial acumen and negotiation skillsProven ability to lead teams and manage changeA deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply themMaster's degree Computer Science, Mathematics, Physical Sciences, or other quantitative fieldExperience working with diverse teams to deliver complex solutionsStrong skills in languages beyond Python: R, JavaScript, Java, C++, CExperience fine-tuning Generative AI modelsExperience in managing complex projects with multiple stakeholdersA strong understanding of industry trends and emerging technologiesSkills in data visualization and storytelling with dataExperience with image processing techniques and/or speech and audio processing and analysisBenefitsMedical and dental coveragePension and 401(k) plansA wide range of paid time off optionsHybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or yearFlexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstancesTime off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-beingReasonable accommodation to qualified individuals with disabilities including veterans with disabilitiesCompany OverviewEY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets. It was founded in 1999, and is headquartered in London, England, GBR, with a workforce of 10001+ employees. Its website is https://www.ey.com/en_ie/entrepreneur-of-the-year.Company H1B SponsorshipEY has a track record of offering H1B sponsorships, with 1567 in 2026, 10235 in 2025, 9877 in 2024, 10966 in 2023, 9394 in 2022, 5652 in 2021, 8849 in 2020. Please note that this does not guarantee sponsorship for this specific role.