AI and Data Science Leadership Consultant
7 days ago
Unleash Your Expertise in AI and Machine Learning
We are seeking a highly skilled and experienced leader to join our Artificial Intelligence and Data team as an AI and Data Science Leadership Consultant. In this role, you will have the opportunity to apply your knowledge and expertise in AI and machine learning to help our clients achieve their business objectives.
About the Opportunity
You will work closely with clients to understand their business needs and develop solutions that leverage 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.
Your Key Responsibilities
As an AI and Data Science Leadership Consultant, you will be responsible for providing 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.
Requirements and Qualifications
- 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
- 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
- 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
Ideal Candidate Profile
- 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
What We Offer
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 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 Our Team
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
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