Sure. Here's the analysis:

Job Analysis:

The AI & Machine Learning Engineer - TMT - Manager role at EY is fundamentally about leveraging advanced technology to deliver innovative AI and machine learning solutions tailored to telecommunications, media, and technology (TMT) clients. The core responsibilities include leading teams in delivering scalable AI systems, enhancing data pipelines, and providing technical guidance amidst complex client engagement. Candidates can expect to face challenges such as managing diverse stakeholder needs, aligning technical solutions with business objectives, and navigating the rapid pace of technological change. Success in this role likely means not only delivering client projects efficiently but also influencing EY's approach to AI and digital transformation through insightful strategies and continuous learning. Strong judgment will be needed to craft solutions, manage teams, and advocate for the adoption of new technologies effectively.

Company Analysis:

EY, or Ernst & Young, operates at the intersection of technology and professional services, positioning itself as a market leader with a commitment to creating value through innovative solutions. The company's ethos is about building a better working world, emphasizing trust, integrity, and leveraging advanced technologies like AI and data analytics. The organizational culture appears to be fast-paced and collaborative, welcoming individuals who think creatively and are passionate about applying their expertise within a diverse team context. This role fits within a dynamic, interdisciplinary team and will likely offer high visibility with leadership as it directly impacts client satisfaction and business outcomes. As EY continues to scale its operations in AI and machine learning, this position is strategically aligned to drive growth and maintain a competitive edge in the consulting landscape, making it critical for a candidate to not only possess technical prowess but also the ability to nurture client relationships and foster innovative thinking.

Absolutely. Here are some mock interview questions that could come up:

Behavioral Questions: Tell me about a time when you had to navigate a complex project with multiple stakeholders. How did you ensure everyone was aligned?
Can you describe a scenario where you identified an innovative solution that improved a process? What steps did you take?
Tell me about a challenging client relationship you managed. What approach did you take to build trust?
Describe a time when you faced a significant obstacle in a technical project. How did you overcome it?
Technical/Role-Specific Questions: How would you approach implementing a machine learning model for a telecommunications client with vast historical data?
Can you explain your experience with real-time data processing frameworks? How have you utilized them in past projects?
Describe the steps you would take to ensure the quality of data used in machine learning models.
What tools and strategies do you prefer for monitoring and evaluating machine learning model performance?
Situational Questions: Imagine you are tasked with designing a machine learning solution for customer segmentation. What key factors would you consider?
If a client expresses concerns about the deployment of a new AI tool, how would you address their reservations?
Company Fit/Motivation Questions: Why do you want to work for EY, and how do you see your values aligning with the company culture?
What excites you most about the opportunity to work at EY in the AI and Data Science space?
Questions for the Candidate to Ask the Interviewer: How does EY stay competitive in the rapidly evolving AI landscape, and how is this role positioned to influence that?
What are some of the most exciting projects currently in the pipeline for the AI and Data team at EY?

AI & Machine Learning Engineer Manager

$124.3k/y-$227.9k/y

15 hours ago

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HybridFull-time6+ yearsSenior

Summary

EY is seeking an AI & Machine Learning Engineer - TMT - Manager - Consulting to join their team in Kansas City, MO. The role involves researching, building, and implementing scalable AI systems tailored to business requirements across various environments.

About the Role

As a Manager in AI Native Engineering, you will deliver innovative solutions that drive business success, work with a variety of clients to deliver the latest data science and big data technologies, and lead teams to design and build scalable solutions. You will engage actively with clients, manage professional employees, and identify opportunities for additional services.

About You

Required:

Bachelor’s degree (4-year degree).
6-10 years of relevant experience in AI, Data Science, and/or Machine Learning.
2-4 years of experience directly managing technical teams.
Strong skills in Python.
Extensive experience in telecommunications, media, or technology sectors.
Proven ability to design and implement machine learning solutions.
Familiarity with telecommunications protocols (e.g., 5G, LTE).
Experience analyzing large-scale datasets from telecommunications networks.
Knowledge of streaming video and audio technologies.
Experience with multi-modal models, including vision-language models.
Understanding of customer segmentation, churn prediction, and recommendation systems.
Knowledge of regulatory and compliance considerations specific to the TMT sector.
Experience with real-time data processing frameworks (e.g., Apache Kafka).
Familiarity with cloud-based telecommunications solutions (e.g., AWS, Azure).
Experience with network optimization algorithms and techniques.
Knowledge of emerging technologies such as edge computing and IoT.
Experience using Generative AI models and frameworks.
Experience with popular ML packages such as scikit-learn, Pytorch, and ONNX.
Extensive experience using DevOps tools like GIT, Azure Devops, and Agile tools such as Jira.
A solid understanding of Machine Learning workflows.
Experience with MLOps methods and platforms such as MLFlow.
Experience with CI/CD and test-driven development.
Experience designing, building, and maintaining ML models, frameworks, and pipelines.
Experience designing and deploying end-to-end ML workflows on major cloud computing platforms.
Understanding of data structures, data modelling, and software engineering best practices.
Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.
Clearly communicating findings, recommendations, and opportunities.
Experience with containerization and scaling models.
Integrating models and feedback from downstream consumption systems.
Deep Learning expertise.
Proficiency in Mathematics, Statistics, and Operations Research.
Experience with Machine Learning techniques.
Knowledge of Data Architecture Design and Modelling.
Familiarity with Cloud Computing environments.
Skills in Technical Design Optimization.
Experience with Continuous Integration and Continuous Delivery/Deployment.
Understanding of Natural Language Processing and Generation.
Knowledge in Image Processing and Analysis.
Skills in Speech and Audio Processing and Analysis.
Ability to scale models effectively.
Strong relationship-building skills.
Demonstrated client trust and value.
Effective communication skills with impact.
Digital fluency and emotional agility.
Experience in hybrid collaboration.
Commercial acumen and negotiation skills.
Proven ability to lead teams and manage change.
Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
Willingness to travel to meet client obligations.

Preferred:

A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches.
Master's degree in 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.

Benefits

Comprehensive compensation and benefits package.
Base salary range in the US: $124k–$227.9k.
Base salary range in New York City Metro Area, Washington State, and California (excluding Sacramento): $149.2k–$259k.
Medical and dental coverage.
Pension and 401(k) plans.
Wide range of paid time off options.
Flexible vacation policy.
Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.

EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams in more than 150 countries work across a full spectrum of services in assurance, consulting, tax, strategy and transactions, strengthened by sector experience and diverse ecosystem partners.

Find out more about the EY global network: http://ey.com/en_gl/legal-statement

Kansas City, MO