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Technology – Data and Decision Science – AI Native Engineering
AI/Machine Learning Engineer, Manager Consultant – TMT Sector
The opportunity
Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.
Your key responsibilities
As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.
Your responsibilities will include:
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 and attributes for success
To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services
The following attributes will make a significant impact:
Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
Strong judgment in selecting methods and techniques for obtaining results.
Experience in managing client relationships and delivering high-quality service.
Ability to lead teams effectively and manage change within the organization.
To qualify for the role, you must have
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.
Extensive experience in telecommunications, media, or technology sectors, with a strong understanding of industry trends.
Proven ability to design and implement machine learning solutions that enhance network performance and customer experience.
Familiarity with telecommunications protocols (e.g., 5G, LTE) and their implications for data science.
Experience analyzing large-scale datasets from telecommunications networks, including call detail records and performance metrics.
Knowledge of streaming video and audio technologies, including analytics and content recommendation systems.
Experience with multi-modal models, including vision-language models.
Understanding of customer segmentation, churn prediction, and recommendation systems tailored to media and telecommunications.
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 e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).
Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.
Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
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 at least one major cloud computing platform.
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 to improve data systems and solutions.
Experience with containerization and scaling models.
Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.
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.
Ideally, you’ll also have
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.
What we look for
We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.
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What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124,300 to $227,900. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team-led and leader-enabled 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.
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted 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.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
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