What are the responsibilities and job description for the AI & Machine Learning Engineer - Senior - Consulting - Location OPEN position at Ernst & Young Advisory Services Sdn Bhd?
Location : New York
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Other locations : Anywhere in Country
Requisition ID : 1558202
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.
AI / Machine Learning Engineer, Senior Consultant
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'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working to position solutions in the most relevant and innovative way for our clients.
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. 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.
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 3-6 years of full-time working experience in AI and / or Machine Learning
- 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.
- 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
What we look for
What we offer
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