Location: Anywhere in Country
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Tech Consulting, AI & Quantitative Modeling, AI Engineering and Strategy Senior, Tech, Media & Telecomm Sector
EY delivers unparalleled cross functional tech consulting services in artificial intelligence, big data and cloud engineering. We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. 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. Come help define the future of AI.
The opportunity
EY is significantly investing in their award-winning AI & Data practice. You will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes. 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 consulting services to ensure AI solutions are properly engineered and maintained to support the ongoing business needs of our clients.
This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. We are looking for leaders at the intersection of Artificial Intelligence strategy and the scaling of AI and Machine Learning Operations capabilities
Your key responsibilities
As an AI Senior, 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.
You will be primarily responsible for leading the development and execution of AI strategies for our clients.
Skills and attributes for success

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.

• Developing and executing a comprehensive AI Strategy that aligns with the client’s goals, mission and vision
• Collaborating with AI engineers and data scientists in delivery of modern Machine Learning and AI solutions for clients
• Staying abreast of AI technology trends and provide directional guidance and recommendations around ModelOps tools and solutions that fit their needs and integrate with their existing ecosystem
• Applying combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring of AI at scale
• Collaborating with Data Scientists, Data Engineers, Cloud Engineers, MLOps Engineers, DevOps to implement and sustain solutions in the client’s platform of choice
• Staying abreast of industry trends, technology innovations and AI regulatory requirements across the globe
• Understanding clients’ overall data, AI and technology landscape and business priorities and success measures
• Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote)
• Working on large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget
• Collaborating, influencing and building consensus through constructive relationships and effective listening
• Solving problems by incorporating data into decision making
• 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.

To qualify for the role, you must have

• Bachelor’s degree, or MS degree in Business or Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
• Minimum of 2-3+ years of professional consulting experience in business or technology consulting or similar roles
• 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.
• 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.
• Strong skills in Python.
• Experience with CI/CD and test-driven development.
• 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.
• Willingness to travel to meet client obligations.
• Strong knowledge of AI technologies and frameworks
• Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
• Team player

Ideally, you’ll also have

• Familiarity with regulatory frameworks and standards related to AI ethics, privacy, and data protection
• Working experience with Agile and/or Scrum methods of delivery
• Working experience with design led thinking
• Microsoft, Databricks, AWS, NVIDIA or Snowflake Certifications in the Data & AI domain
• 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.
• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.

What we look for

• You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.
• You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
• You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.

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.

• Developing and executing a comprehensive AI Strategy that aligns with the client’s goals, mission and vision
• Collaborating with AI engineers and data scientists in delivery of modern Machine Learning and AI solutions for clients
• Staying abreast of AI technology trends and provide directional guidance and recommendations around ModelOps tools and solutions that fit their needs and integrate with their existing ecosystem
• Applying combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring of AI at scale
• Collaborating with Data Scientists, Data Engineers, Cloud Engineers, MLOps Engineers, DevOps to implement and sustain solutions in the client’s platform of choice
• Staying abreast of industry trends, technology innovations and AI regulatory requirements across the globe
• Understanding clients’ overall data, AI and technology landscape and business priorities and success measures
• Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote)
• Working on large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget
• Collaborating, influencing and building consensus through constructive relationships and effective listening
• Solving problems by incorporating data into decision making
• 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

To qualify for the role, you must have

• Bachelor’s degree, or MS degree in Business or Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
• Minimum of 2-3+ years of professional consulting experience in business or technology consulting or similar roles
• 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.
• 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.
• Strong skills in Python.
• Experience with CI/CD and test-driven development.
• 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.
• Willingness to travel to meet client obligations.
• Strong knowledge of AI technologies and frameworks
• Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
• Team playe