AI/Machine Learning Engineer – TMT – Manager - Consulting at EY
About EY
At EY, you’ll have the opportunity to build a career as unique as you are, supported by a global scale, an inclusive culture, and innovative technology. We prioritize high ethical standards and integrity, expecting our candidates to demonstrate these qualities.
The Opportunity
Join EY’s Artificial Intelligence and Data team to apply cutting-edge technology and techniques for client solutions. Work closely with clients and diverse teams to create innovative approaches to complex problems, many of which are new in the field.
Key Responsibilities
- Collaborate with various clients to implement data science and big data technologies.
- Design and build scalable data solutions to analyze, enrich, and derive insights from diverse data sources.
- Guide and perform technical development to ensure solutions support ongoing business needs.
- Work within a multidisciplinary team of scientists and engineers on computational challenges.
- Communicate findings and opportunities effectively.
Skills and Attributes for Success
- Technical guidance and knowledge sharing.
- Delivery of high-quality client services.
- Knowledge of AI, Data Science, Machine Learning.
- Experience managing technical teams.
- Strong background in telecommunications, media, or technology.
- Proficiency in Python, ML frameworks (scikit-learn, PyTorch, ONNX), and generative AI models.
- Familiarity with DevOps tools (GIT, Azure DevOps, Jira).
- Experience analyzing large telecommunication datasets, protocols like 5G, LTE.
- Knowledge of streaming technologies, multimodal models, customer analytics.
- Cloud computing exposure (AWS, Azure).
- Understanding of ML workflows, MLOps, CI/CD, and data modeling.
- Strong mathematical skills (calculus, linear algebra, statistics).
- Willingness to travel.
Desirable Qualifications
- Advanced degrees (Master’s or PhD).
- Skills in multiple programming languages beyond Python.
- Experience in teaching or explaining complex concepts.
What We Offer
- Competitive salary based on location and experience.
- Comprehensive benefits including health, pension, and paid time off.
- Flexible work arrangements.
- Continuous learning and leadership development.
- Supportive and inclusive culture.
Application Process
We accept applications on an ongoing basis. If you meet the criteria, contact us promptly.
About EY
We aim to build a better working world through data, technology, and diverse teams. EY operates in over 150 countries offering assurance, consulting, legal, strategy, tax, and transaction services.
For California residents: Additional info available.
Equal Opportunity
EY is committed to an inclusive environment and provides reasonable accommodations for individuals with disabilities.
# Job Highlights
- Many with advanced degrees or equivalent experience.
- 6-10 years in AI, Data Science, Machine Learning.
- 2-4 years managing technical teams.
- Industry experience in telecommunications, media, tech.
- Skills in Python, Generative AI, ML packages, DevOps tools.
- Knowledge of telecom protocols, large datasets, streaming tech.
- Cloud familiarity, network optimization, emerging tech.
- Strong ML workflows, MLOps, software engineering.
- Ability to communicate findings and teach concepts.
# Benefits
- Competitive salary ($141,400 to $294,600 range depending on location and experience).
- Health, dental, pension, 401(k), and paid time off.
- Flexible work and vacation policy.
- Continuous learning and leadership support.
- Inclusive culture.
# Responsibilities
- Work alongside clients and teams to craft solutions.
- Engage in ongoing research and knowledge building.
- Stay ahead of industry trends.
- Deliver and engineer data science solutions.
- Lead and guide teams on diverse projects.
- Focus on speed, scale, and human-centric tech.
- Share expertise across teams.
- Ensure quality and compliance.
- Innovate using AI frameworks like OpenAI, LlamaIndex, Langchain, and RAG.
- Scale models via containerization.
# Final note
We are looking for driven, innovative, inclusive leaders to join our team and help us build a better working world.