AI & Machine Learning Engineering Manager Consultant
EY
Job Overview
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Job Description
The Opportunity: AI & Machine Learning Engineering Manager Consultant at EY
At EY, we're dedicated to shaping your future with confidence within a globally connected network of diverse teams. Joining EY means contributing to a better working world by applying cutting-edge technology and techniques to client solutions, particularly within our Artificial Intelligence and Data team.
Your Role as an AI & Machine Learning Engineering Manager Consultant
As an AI & Machine Learning Engineering Manager Consultant, you will engage directly with clients and multidisciplinary EY teams to solve complex, often unprecedented, problems. This dynamic role involves continuous learning and staying ahead of technological trends to position innovative solutions effectively. You'll research, build, and implement scalable AI systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. Your responsibilities extend to enhancing data pipelines and storage for clean, accurate, and XOps-optimized data, as well as monitoring and evaluating learning processes to continuously improve high-performance models. Collaboration with data and analytics professionals will be key to industrializing analysis into effective analytics solutions.
Key Responsibilities as a Manager in AI Native Engineering
- Lead workstream delivery, ensuring effective management of processes and projects.
- Continuously improve processes by identifying innovative solutions through research and analysis.
- Manage professional employees and supervise teams to deliver complex technical initiatives, holding accountability for performance and results.
- Actively engage with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
- Identify opportunities for additional services and manage engagement economics.
Skills and Attributes for Success
To excel in this role, you will need a combination of technical expertise and strong interpersonal skills, focusing on delivering technology at speed, innovating at scale, and putting humans at the center. This includes providing technical guidance, sharing knowledge with diverse teams, and consistently delivering quality client services on complex issues related to emerging technology. You will need to demonstrate strong technical capabilities, professional knowledge, and proactively identify how to apply EY's knowledge and services.
To Qualify for the Role, You Must Have
- A Bachelor’s degree.
- 6-10 years of relevant full-time experience in AI, Data Science, and/or Machine Learning.
- 2-4 years of direct experience managing technical teams.
- Strong proficiency in Python.
- Ability to 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.
- Proficiency in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experience 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, model retraining, and feedback loop methodologies.
- Experience with model and solution monitoring and reporting.
- Understanding of data structures, data modeling, 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 and strong relationship-building skills.
- Demonstrated client trust, value, digital fluency, emotional agility, commercial acumen, and negotiation skills.
- Proven ability to lead teams and manage change.
Ideally, You'll Also Have
- A Master's degree in Computer Science, Mathematics, Physical Sciences, or another 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.
What We Look For
We seek individuals who are technically proficient, critical thinkers, and creative problem-solvers. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in AI and data science. Your ability to collaborate effectively and communicate with clarity will distinguish you as a leader within our team.
What We Offer You
EY offers comprehensive compensation and benefits, where your performance is rewarded, and your value to the business is recognized. This includes medical and dental coverage, pension and 401(k) plans, and flexible paid time off. We support a team-led and leader-enabled hybrid model, expecting external, client-serving roles to work in person 40-60% of the time. You will be developed with future-focused skills, equipped with world-class experiences, and empowered in a flexible, diverse, and inclusive culture.
Key skills/competency
- Artificial Intelligence
- Machine Learning
- Generative AI
- Python Programming
- Cloud Platforms
- MLOps
- DevOps
- Data Science
- Client Engagement
- Team Leadership
How to Get Hired at EY
- Research EY's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight experience in AI, Machine Learning, Python, cloud platforms, and team leadership, aligning with the AI & Machine Learning Engineering Manager Consultant role.
- Showcase technical expertise: Prepare to discuss specific projects where you designed, built, and deployed production-grade AI/ML solutions, emphasizing tools like Generative AI frameworks, MLOps, and DevOps.
- Highlight leadership and client skills: Be ready to provide examples of leading technical teams, managing client relationships, and driving project outcomes in a consulting environment.
- Practice behavioral questions: Prepare responses demonstrating your collaboration, problem-solving, communication, and adaptability, crucial for EY's client-facing consulting roles.
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