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.
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
Skills
- 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
Benefits
- Medical and dental coverage
- Pension and 401(k) plans
- A wide range of paid time off options
- Hybrid 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 year
- Flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances
- Time 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-being
- Reasonable accommodation to qualified individuals with disabilities including veterans with disabilities
Company Overview
EY 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 Sponsorship
EY 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.