AI & Machine Learning Engineer - TMT - Manager - Consulting - Location OPEN - Ernst & Young Advisory Services Sdn Bhd : Job Details

Location: New York

Other locations: Anywhere in Country

Date: Feb 11, 2025

Requisition ID: 1581453

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.

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. 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.

Your key responsibilities

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.

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.

To qualify for the role you must have

• Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning
• 2-4 years of experience directly managing technical teams
• Extensive experience in telecommunications, media, or technology sectors, with a strong understanding of industry trends.
• Strong skills in Python.
• 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.
• 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.
• 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.
• 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.
• Experience fine-tuning Generative AI models.

What we look for

• You have an agile, growth-oriented mindset. 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.

What we offer

• Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.