[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.

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

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